PHOTO

Yuko Araki
Section
Graduate School of Information Sciences
Job title
Professor
Degree
  • 博士(数理学)(九州大学)

  • M.S.(カルガリー大学)

e-Rad No.
80403913

Research History 9

  • 2022/06 - Present
    Chuo University Research and Development Initiative

  • 2022/04 - Present
    Tohoku University Graduate School of Information Sciences Department of System Information Sciences Professor

  • 2022/04 - 2023/03
    Shizuoka University Faculty of Informatics

  • 2020/04 - 2022/03
    Shizuoka University Faculty of Informatics Professor

  • 2015/04 - 2020/03
    Shizuoka University Faculty of Informatics Associate Professor

  • 2014/04 - 2015/03
    Kurume University

  • 2008/04 - 2014/03
    Kurume University Biostatistics Center

  • 2007/01 - 2008/03
    Kurume University Biostatistical Center

  • 2005/04 - 2006/12
    Kyushu University Faculty of Mathematics

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Education 3

  • Kyushu University Graduate School of Mathematics

    - 2005

  • The University of Calgary Faculty of Graduate Studies Mathematics and Statistics

    - 2002

  • The University of Calgary Faculty of Science Department of Mathematics and Statistics

    - 2000

Committee Memberships 16

  • 日本学術会議 連携会員

    2023/10 - Present

  • Japanese Association for Promoting Quality Assurance in Statistics Public relations committee

    2023/07 - Present

  • The Biometric Society of Japan Japanese Journal of Biometrics, editor

    2023/04 - Present

  • 日本統計学会 理事

    2022/06 - Present

  • 日本統計学会 多様性推進特別委員会

    2022/04 - Present

  • Computational and Methodological Statistics 2022 Scientific Program Committee, Session Organizer

    2021/12 - Present

  • Japanese Journal of Statistics and Data Science, Springer Associate Editor

    2021/10 - Present

  • 日本応用統計学会 「応用統計学」編集委員

    2018/04 - 2022/05

  • Computational and Methodological Statistics 2021 Session Organizer

    2020/12 - 2021/12

  • Computational and Methodological Statistics 2020 Session Organizer

    2019/12 - 2020/12

  • Computational and Methodological Statistics 2019 Scientific Program Committee, Session Organizer

    2018/12 - 2019/12

  • Econometrics and Statistics 2019 Scientific Program Committee, Session Organizer

    2018/05 - 2019/06

  • Computational and Methodological Statistics 2018 Session Organizer

    2017/12 - 2018/12

  • Econometrics and Statistics 2018 Session Organizer

    2017/05 - 2018/06

  • Computational and Methodological Statistics 2017 Session Organizer

    2016/12 - 2017/12

  • International Federation of Classification Societies 2017 Scientific Program Committee, Session Organizer

    2017/01 - 2017/08

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Professional Memberships 6

  • Japanese Statistical Society

  • International Biometric Society

  • 日本計算機統計学会

  • 統計科学研究会

  • 日本計量生物学会

  • 応用統計学会

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Research Interests 10

  • machine learning

  • statistical science

  • data science

  • 多層モデル

  • バイオ統計学

  • 情報量規準

  • 高次元データ

  • 多変量解析

  • 関数データ解析

  • モデル選択

Research Areas 1

  • Informatics / Statistical science /

Awards 12

  1. Award

    2022/12 Latency estimation for P-spline mixture cure model

  2. 入賞

    2022/01 日本統計学会 スポーツ統計分科会 第11回スポーツデータ解析コンペティション eスポーツにおける先制の概念の検討と勝因の分析

  3. 奨励賞

    2021/09 静岡大学情報学部研究推進室 時空間の影響を考慮した大気汚染物質と新型コロナウイルス感染症の関連分析

  4. 優秀賞

    2021/09 静岡大学情報学部研究推進室 Functional Convex Clusteringの提案と数値実験による既存手法との比較

  5. 最優秀報告賞

    2021/09 静岡大学情報学部研究推進室 P-Splineを用いたMixture Cure Modelの提案

  6. 奨励賞

    2021/01 日本統計学会 スポーツ統計分科会 第10回スポーツデータ解析コンペティション 初回走者一塁におけるエンドランの成功要因分析

  7. Poster Presentation Award

    2019/05 Japanese Society of Applied Statistics

  8. 優秀賞

    2019/02 日本統計学会スポーツ統計分科会 第8回スポーツデータ解析コンペティション 分析部門 交代の意思決定における監督の目の正体と良い交代を行うための要因の分析

  9. 石橋財団学術振興基金授与

    2010/04

  10. 石橋財団学術振興基金授与

    2009/04

  11. 奨励論文賞

    2005/09 応用統計学会 動径基底関数展開に基づく関数回帰モデリング

  12. 最優秀報告賞

    2004/09 2004年度統計関連学会連合大会 正則化基底展開法に基づく関数データ判別

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Papers 39

  1. Near-infrared light scattering and water diffusion in newborn brains International-journal Peer-reviewed

    Sachiko Iwata, Reiji Katayama, Kennosuke Tsuda, Yung-Chieh Lin, Tsuyoshi Kurata, Masahiro Kinoshita, Koya Kawase, Takenori Kato, Shin Kato, Tadashi Hisano, Motoki Oda, Etsuko Ohmae, Sachio Takashima, Yuko Araki, Shinji Saitoh, Osuke Iwata

    ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY 9 (9) 1417-1427 2022/09

    Publisher: WILEY

    DOI: 10.1002/acn3.51641  

    ISSN:2328-9503

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    OBJECTIVE: MRI provides useful information regarding brain maturation and injury in newborn infants. However, MRI studies are generally restricted during acute phase, resulting in uncertainty around upstream clinical events responsible for subtle cerebral injuries. Time-resolved near-infrared spectroscopy non-invasively provides the reduced scattering coefficient ( μ s ' $$ {\mu}_s^{\prime } $$ ), which theoretically reflects tissue structural complexity. This study aimed to test whether μ s ' $$ {\mu}_s^{\prime } $$ values of the newborn head reflected MRI findings. METHODS: Between June 2009 and January 2015, 77 hospitalised newborn infants (31.7 ± 3.8 weeks gestation) were assessed at 38.8 ± 1.3 weeks post-conceptional age. Associations of μ s ' $$ {\mu}_s^{\prime } $$ values with MRI scores, mean diffusivity and fractional anisotropy were assessed. RESULTS: Univariable analysis showed that μ s ' $$ {\mu}_s^{\prime } $$ values were associated with gestational week (p = 0.035; regression coefficient [B], 0.065; 95% confidence interval [CI], 0.005-0.125), fractional anisotropy in the cortical grey matter (p = 0.020; B, -5.994; 95%CI, -11.032 to -0.957), average diffusivity in the cortical grey matter (p < 0.001; B, -4.728; 95%CI, -7.063 to -2.394) and subcortical white matter (p = 0.001; B, -2.071; 95%CI, -3.311 to -0.832), subarachnoid space (p < 0.001; B, -0.289; 95%CI, -0.376 to -0.201) and absence of brain abnormality (p = 0.042; B, -0.422; 95%CI, -0.829 to -0.015). The multivariable model to explain μ s ' $$ {\mu}_s^{\prime } $$ values comprised average diffusivity in the subcortical white matter (p < 0.001; B, -2.066; 95%CI, -3.200 to -0.932), subarachnoid space (p < 0.001; B, -0.314; 95%CI, -0.412 to -0.216) and absence of brain abnormality (p = 0.021; B, -0.400; 95%CI, -0.739 to -0.061). INTERPRETATION: Light scattering was associated with brain structure indicated by MRI-assessed brain abnormality and diffusion-tensor-imaging-assessed water diffusivity. When serially assessed in a larger population, μ s ' $$ {\mu}_s^{\prime } $$ values might help identify covert clinical events responsible for subtle cerebral injury.

  2. Bayesian nonparametric quantile mixed-effects models via regularization using Gaussian process priors Peer-reviewed

    Yuta Tanabe, Yuko Araki, Masahiro Kinoshita, Hisayoshi Okamura, Sachiko Iwata, Osuke Iwata

    JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE 5 (1) 241-267 2022/07

    Publisher: SPRINGERNATURE

    DOI: 10.1007/s42081-022-00158-y  

    ISSN:2520-8756

    eISSN:2520-8764

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    In this study, we proposed using Bayesian nonparametric quantile mixed-effects models (BNQMs) to estimate the nonlinear structure of quantiles in hierarchical data. Assuming that a nonlinear function representing a phenomenon of interest cannot be specified in advance, a BNQM can estimate the nonlinear function of quantile features using the basis expansion method. Furthermore, BNQMs adjust the smoothness to prevent overfitting by regularization. We also proposed a Bayesian regularization method using Gaussian process priors for the coefficient parameters of the basis functions, and showed that the problem of overfitting can be reduced when the number of basis functions is excessive for the complexity of the nonlinear structure. Although computational cost is often a problem in quantile regression modeling, BNQMs ensure the computational cost is not too high using a fully Bayesian method. Using numerical experiments, we showed that the proposed model can estimate nonlinear structures of quantiles from hierarchical data more accurately than the comparison models in terms of mean squared error. Finally, to determine the cortisol circadian rhythm in infants, we applied a BNQM to longitudinal data of urinary cortisol concentration collected at Kurume University. The result suggested that infants have a bimodal cortisol circadian rhythm before their biological rhythms are established.

  3. A New Quantitative Triage System for Hospitalized Neonates to Assist with Decisions of Hospital Evacuation Priorities International-journal Peer-reviewed

    Kazunori Imai, Tomoko Suzuki, Satoko Fukaya, Yuko Karasawa, Yoko Bando, Daisuke Sawaki, Yuko Araki, Shinji Saitoh, Osuke Iwata

    PREHOSPITAL AND DISASTER MEDICINE 37 (3) 343-349 2022/06

    Publisher: CAMBRIDGE UNIV PRESS

    DOI: 10.1017/S1049023X22000553  

    ISSN:1049-023X

    eISSN:1945-1938

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    Abstract Introduction: Hospitalized neonates are vulnerable to natural and man-made disasters because of their persistent requirement for medical resources and may need to be evacuated to safe locations when electricity and medical gas supply become unreliable. In Japan, a triage system for hospitalized neonates, or the Simple Triage and Rapid Treatment for Neonates, Revised (START-Neo-R), has been used to determine whether neonates are in suitable conditions for transportation. However, this scale is not useful to determine the evacuation order of neonates because a considerable number of evacuees are classified into the same categories. Study Objective: To solve this problem, a novel triage system, Neonatal Extrication Triage (NEXT) was developed. This study tested the validity and reproducibility of both triages and compared them with a standardized prognostic scoring system for hospitalized neonates, the Neonatal Therapeutic Intervention Scoring System (NTISS). Methods: In this retrospective observational study, physicians and nurses independently assessed each neonate hospitalized at a tertiary neonatal intensive care unit (NICU) twice weekly using NEXT and START-Neo-R. The NEXT system comprises six questionnaires regarding medical resources required during transition and transportation, providing composite scores on a 12-point scale. The START-Neo-R classified neonates into five levels based on the severity of disease and dependence on medical care. Inter-rater reliability of both systems was assessed using Cohen’s kappa coefficient, whereas the criterion validity with NTISS was assessed using Spearman’s correlation coefficient. Results: Overall, 162 neonates were assessed for 49 days, resulting in triage data for 1,079 accumulated patients. Both NEXT scores and START-Neo-R ranks were well-dispersed across different levels without excessive accumulation in specific categories. Inter-rater reliability of NEXT (kappa coefficient, 0.973; 95% confidence interval, 0.969-0.976) and START-Neo-R (kappa coefficient, 0.952; 95% confidence interval, 0.946-0.957) between physicians and nurses was sufficiently high. The correlation coefficient of NEXT and START-Neo-R scores with NTISS scores were 0.889 (P &lt;.001) and 0.850 (P &lt;.001), respectively. Conclusions: Both START-Neo-R and NEXT had good reproducibility and correlation with the severity of neonates indicated by NTISS. With its well-dispersed scores across different levels, the NEXT system might be a powerful tool to determine the priority of evacuation objectively.

  4. Foetal growth, birth transition, enteral nutrition and brain light scattering International-journal Peer-reviewed

    Osuke Iwata, Sachiko Iwata, Tsuyoshi Kurata, Kennosuke Tsuda, Koya Kawase, Masahiro Kinoshita, Yung-Chieh Lin, Mamoru Saikusa, Yuko Araki, Sachio Takashima, Motoki Oda, Etsuko Ohmae, Shiji Saitoh

    SCIENTIFIC REPORTS 11 (1) 21318-21318 2021/10/29

    Publisher: NATURE PORTFOLIO

    DOI: 10.1038/s41598-021-00624-9  

    ISSN:2045-2322

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    If the brain structure is assessed at neonatal intensive care units, covert clinical events related with subtle brain injury might be identified. The reduced scattering coefficient of near-infrared light (μS') obtained using time-resolved near-infrared spectroscopy from the forehead of infants is associated with gestational age, body weight and Apgar scores, presumably reflecting subtle changes of the brain related to foetal growth and birth transition. One hundred twenty-eight preterm and term infants were studied to test whether μS' obtained from the head at term-equivalent age is associated with foetal growth, birth transition and nutritional status after birth, which are key independent variables of developmental outcomes. As potential independent variables of μS', birth weight, Apgar scores, age at full enteral feeding and post-conceptional age at the study were assessed to represent foetal growth, birth transition and nutritional status after birth. Subsequently, higher μS' values were associated with higher Apgar scores (p = 0.003) and earlier establishment of enteral feeding (p < 0.001). The scattering property of near-infrared light within the neonatal brain might reflect changes associated with birth transition and nutritional status thereafter, which might be used as a non-invasive biomarker to identify covert independent variables of brain injury in preterm infants.

  5. Multivariate Functional Principal Component Analysis in Sign Language Peer-reviewed

    Sakurada Kyonosuke, Araki Yuko, Izumi Yuki, Nishida Masafumi

    The Transactions of Human Interface Society 22 (4) 475-484 2020/11/25

    Publisher: Human Interface Society

    DOI: 10.11184/his.22.4_475  

    ISSN:1344-7262 2186-828X

    eISSN:2186-8271

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    The aim of this paper is to establish a novel statistical methods for characterizing the sign language movements at multiple body parts simultaneously. The method we applied is the multivariate functional principal components analysis (MFPCA), which is capable of capturing the individual variation of sign language movements using not only palm movements but also multiple movements such as fingers, elbows, and shoulders. This method successfully captures the characteristic that sign language is composed of a combination of multiple consecutive actions. We apply MFPCA to quantify the differences in variation of the performance among ten beginner and one master of the sing languages measured at nineteen body parts. The results of MFPCA quantify the individual qualities for the sign languages by making use of multivariate function principal component scores. At the same time, MFPCA revealed which part the characteristic movement of the individual sign language appears strongly. Finally, we distinguished some words that tend to be difficult or easy to learn.

  6. Functional logistic discrimination with sparse PCA and its application to the structural MRI

    Yuko Araki, Atsushi Kawaguchi

    Behaviormetrika 46 (1) 147-162 2019/03/22

    Publisher: Springer Science and Business Media LLC

    DOI: 10.1007/s41237-019-00079-3   10.1007/s41237-019-00081-9_references_DOI_JiE6r2kq6dobbPOc0yjbfvGm7sn  

    ISSN:0385-7417

    eISSN:1349-6964

  7. Association of Weight Fluctuation With Mortality in Japanese Adults International-journal Peer-reviewed

    John Cologne, Ikuno Takahashi, Benjamin French, Akiko Nanri, Munechika Misumi, Atsuko Sadakane, Harry M. Cullings, Yuko Araki, Tetsuya Mizoue

    JAMA NETWORK OPEN 2 (3) e190731 2019/03/01

    Publisher: AMER MEDICAL ASSOC

    DOI: 10.1001/jamanetworkopen.2019.0731  

    ISSN:2574-3805

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    Importance: Weight cycling is associated with the risk of mortality from heart disease, but many studies have not distinguished between simple nonlinear (monotone) weight changes and more complex changes that reflect fluctuations. Objective: To assess whether extreme body weight variation is associated with mortality after controlling for nonlinear weight changes. Design, Setting, and Participants: In this prospective clinical cohort study, 4796 Japanese atomic bomb survivors were examined in the clinic as part of a biennial health examination and research program. The study consisted of a 20-year longitudinal baseline period (July 1, 1958, to June 30, 1978) and subsequent mortality follow-up of 27 years (July 1, 1978, to June 30, 2005) Participants were initially between the ages of 20 and 49 years during the baseline period and, throughout the baseline period, had no diagnoses of cardiovascular disease (CVD) or cancer and attended at least 7 of 10 scheduled examinations. Data analysis was performed from October 16, 2015, to May 13, 2016. Exposures: Residual variability in body mass index (BMI) during the baseline period. Main Outcomes and Measures: Outcomes were mortality from ischemic heart disease, cerebrovascular disease, other CVDs combined, other causes (except cancer), and cancer. Root mean squared error was calculated to capture individual residual variation in BMI after adjustment for baseline BMI trends, and the association of magnitude of residual variation with mortality was calculated as relative risk. Results: In total, 4796 persons (mean [SD] age, 35.0 [7.3] years at first baseline examination; 3252 [67.8%] female; mean [SD] BMI, 21.2 [2.8] at first baseline visit [20.6 (2.4) among men and 21.5 (2.9) among women]) participated in the study. During follow-up, 1550 participants died: 82 (5.3% of all deaths) of ischemic heart disease, 181 (11.7%) of cerebrovascular disease, 186 (12.0%) of other CVDs, 615 (39.7%) of cancer, and 486 (31.3%) of other causes. Magnitude of residual variation in weight was associated with all-cause mortality (relative risk, 1.25 for 1 U of additional variation; 95% CI, 1.06-1.47) and ischemic heart disease mortality (relative risk, 2.49; 95% CI, 1.41-4.38). Conclusions and Relevance: The findings suggest that an association exists between weight variation and heart disease mortality and that weight loss interventions, if deemed to be necessary, should be considered carefully.

  8. Parity As a Protective Biomarker Against Silent Brain Infarction in Community-Dwelling Older Adults: The Sefuri Study International-journal Peer-reviewed

    Hiroshi Yao, Kenji Fukuda, Yuko Araki, Yuki Takashima, Akira Uchino, Takefumi Yuzuriha, Manabu Hashimoto

    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES 28 (3) 702-709 2019/03

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.jstrokecerebrovasdis.2018.11.005  

    ISSN:1052-3057

    eISSN:1532-8511

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    BACKGROUND: Although several studies have reported an association between parity and increased risk of stroke, this relationship remains controversial. AIMS: The present study aimed to determine whether parity is associated with silent brain infarction (SBI), independent of other confounders. METHODS: We analyzed the brain magnetic resonance imaging findings in 576 of community-dwelling older adults with a mean age of 72.1 years. All female participants were asked to provide information regarding the total number of live births, their age at the last parity, and their age at menopause. RESULTS: The prevalence of SBI and the number of infarcts per participant were higher in men than in women. Although all women who had given birth (0, 1-2, 3-4, or 5+ times) exhibited lower age-adjusted odds ratios (ORs) for SBI than men, a significant difference was observed between women with ≧5 births and men after adjustment for common vascular risk factors (OR: .348, 95% confidence interval [95% CI]: .123-.986). Among women who had given birth, the relationship between fertility and SBI was attenuated, but was enhanced after adjustment for age at the last parity (OR: .300, 95% CI: .102-.886). CONCLUSIONS: Our findings indicate that fertile women may be protected against SBI or cerebral small vessel disease via the biological effects associated with reproductive activity, and that high fertility may be a marker of protection against SBI. However, late childbearing may blunt protective effects of fertility against SBI.

  9. Trends in parental expectation of clinical care form primary care pediatricians in Fukuoka, Japan Peer-reviewed

    松田健太郎, 松崎彰信, 中山英樹, 安藤寛, 大嶋昭雄, 松本一郎, 横山隆人, 米倉順孝, 下村国寿, 荒木由布子

    22 (1) 12-19 2019/02

    Publisher: None

    ISSN:1345-8043

  10. Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring International-journal

    Yasuhiko Maeyama, Keiichi Mitsuyama, Tetsuhiro Noda, Shiuchiro Nagata, Tsutomu Nagata, Shinichiro Yoshioka, Hikaru Yoshida, Michita Mukasa, Hiroaki Sumie, Hiroshi Kawano, Jun Akiba, Yuko Araki, Tatsuyuki Kakuma, Osamu Tsuruta, Takuji Torimura

    World Journal of Gastroenterology 24 (42) 4809-4820 2018/11/14

    Publisher: Baishideng Publishing Group Inc.

    DOI: 10.3748/wjg.v24.i42.4809  

    ISSN:1007-9327

    eISSN:2219-2840

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    AIM: To determine the usefulness of assigning narrow-band imaging (NBI) scores for predicting tumor grade and invasion depth in colorectal tumors. METHODS: A total of 161 colorectal lesions were analyzed from 138 patients who underwent endoscopic or surgical resection after conventional colonoscopy and magnifying endoscopy with NBI. The relationships between the surface and vascular patterns of the lesions, as visualized with NBI, and the tumor grade and depth of submucosa (SM) invasion were determined histopathologically. Scores were assigned to distinct features of the surface microstructures of tubular and papillary-type lesions. Using a multivariate analysis, a model was developed for predicting the tumor grade and depth of invasion based on NBI-finding scores. RESULTS: NBI findings that correlated with a high tumor grade were associated with the "regular/irregular" (P < 0.0001) surface patterns and the "avascular area" pattern (P = 0.0600). The vascular patterns of "disrupted vessels" (P = 0.0714) and "thick vessels" (P = 0.0133) but none of the surface patterns were associated with a depth of invasion of ≥ 1000 μm. In our model, a total NBI-finding score ≥ 1 was indicative of a high tumor grade (sensitivity: 0.97; specificity: 0.24), and a total NBI-finding score ≥ 9 (sensitivity: 0.56; specificity: 1.0) was predictive of a SM invasion depth ≥ 1000 μm. Scores less than these cutoff values signified adenomas and a SM invasion depth < 1000 μm, respectively. Associations were also noted between selected NBI findings and tumor tissue architecture and histopathology. CONCLUSION: Our multivariate statistical model for predicting tumor grades and invasion depths from NBI-finding scores may help standardize the diagnosis of colorectal lesions and inform therapeutic strategies.

  11. Chronic Kidney Disease and Subclinical Brain Infarction Increase the Risk of Vascular Cognitive Impairment: The Sefuri Study International-journal

    Hiroshi Yao, Yuko Araki, Yuki Takashima, Akira Uchino, Takefumi Yuzuriha, Manabu Hashimoto

    Journal of Stroke and Cerebrovascular Diseases 26 (2) 420-424 2017/02

    Publisher: Elsevier BV

    DOI: 10.1016/j.jstrokecerebrovasdis.2016.10.002   10.1038/s41598-020-73576-1_references_DOI_EPOVctkI8XSRT6F01rOyznem9On   10.3390/ijms20081905_references_DOI_EPOVctkI8XSRT6F01rOyznem9On  

    ISSN:1052-3057

    eISSN:1532-8511

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    BACKGROUND AND PURPOSE: The purpose of this study was to determine the complex associations among chronic kidney disease (CKD), subclinical brain infarction (SBI), and cognitive impairment. METHODS: We used structural equation modeling (SEM) to examine the complex relationships among CKD, SBI, and cognitive function with Mini-Mental State Examination (MMSE; global function) and modified Stroop test (executive function) in a population-based cohort of 560 non-demented elderly subjects. RESULTS: Path analysis based on SEM revealed that the direct paths from estimated glomerular filtration rate (eGFR) to SBI and from SBI to executive function were significant (β = -.10, P = .027, and β = .16, P < .001, respectively). Furthermore, the direct path from eGFR to executive function was also significant (β = -.12, P = .006), indicating that the effects of CKD on executive function are independent of SBI. The direct paths from age and education to global cognitive function were highly significant (β = -.17 and .22, respectively, P < .001), whereas the direct path from eGFR to MMSE was not significant. CONCLUSIONS: Our findings indicate that CKD confers a risk of vascular cognitive impairment or executive dysfunction through mechanisms dependent and independent of SBI. Treating CKD may be a potential strategy to protect against vascular cognitive impairment or executive dysfunction in healthy elderly subjects.

  12. Hippocampal atrophy and memory dysfunction associated with physical inactivity in community-dwelling elderly subjects: The Sefuri study International-journal Peer-reviewed

    Manabu Hashimoto, Yuko Araki, Yuki Takashima, Kohjiro Nogami, Akira Uchino, Takefumi Yuzuriha, Hiroshi Yao

    BRAIN AND BEHAVIOR 7 (2) e00620 2017/02

    Publisher: WILEY

    DOI: 10.1002/brb3.620  

    ISSN:2162-3279

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    Background: Physical inactivity is one of the modifiable risk factors for hippocampal atrophy and Alzheimer's disease. We investigated the relationship between physical activity, hippocampal atrophy, and memory using structural equation modeling (SEM). Materials and Methods: We examined 213 community-dwelling elderly subjects (99 men and 114 women with a mean age of 68.9years) without dementia or clinically apparent depression. All participants underwent Mini-Mental State Examination (MMSE) and Rivermead Behavioral Memory Test (RBMT). Physical activities were assessed with a structured questionnaire. We evaluated the degree of hippocampal atrophy (z-scorereferred to as ZAdvance hereafter), using a free software programthe voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) based on statistical parametric mapping 8 plus Diffeomorphic Anatomical Registration Through an Exponentiated Lie algebra. Results: Routine magnetic resonance imaging findings were as follows: silent brain infarction, n=24 (11.3%); deep white matter lesions, n=72 (33.8%); periventricular hyperintensities, n=35 (16.4%); and cerebral microbleeds, n=14 (6.6%). Path analysis based on SEM indicated that the direct paths from leisure-time activity to hippocampal atrophy (=-.18, p&lt;.01) and from hippocampal atrophy to memory dysfunction (RBMT) (=-.20, p&lt;.01) were significant. Direct paths from hippocampus gray matter volume to RBMT and MMSE were highly significant, while direct paths from whole brain gray matter volume to RBMT and MMSE were not significant. The presented SEM model fit the data reasonably well. Conclusion: Based on the present SEM analysis, we found that hippocampal atrophy was associated with age and leisure-time physical inactivity, and hippocampal atrophy appeared to cause memory dysfunction, although we are unable to infer a causal or temporal association between hippocampal atrophy and memory dysfunction from the present observational study.

  13. Therapeutic hypothermia for neonatal encephalopathy: a report from the first 3 years of the Baby Cooling Registry of Japan International-journal

    Kennosuke Tsuda, Takeo Mukai, Sachiko Iwata, Jun Shibasaki, Takuya Tokuhisa, Tomoaki Ioroi, Hiroyuki Sano, Nanae Yutaka, Akihito Takahashi, Akihito Takeuchi, Toshiki Takenouchi, Yuko Araki, Hisanori Sobajima, Masanori Tamura, Shigeharu Hosono, Makoto Nabetani, Osuke Iwata

    Scientific Reports 7 (1) 39508-39508 2017/01/04

    Publisher: Springer Science and Business Media LLC

    DOI: 10.1038/srep39508   10.1089/ther.2018.0019_references_DOI_U9PbPIqyqIzRFjJHFRdU40E4bv3   10.1038/s41390-021-01502-w_references_DOI_U9PbPIqyqIzRFjJHFRdU40E4bv3   10.1016/j.expneurol.2020.113577_references_DOI_U9PbPIqyqIzRFjJHFRdU40E4bv3   10.1038/s41598-020-61311-9_references_DOI_U9PbPIqyqIzRFjJHFRdU40E4bv3   10.1136/archdischild-2019-316793_references_DOI_U9PbPIqyqIzRFjJHFRdU40E4bv3  

    ISSN:2045-2322

    eISSN:2045-2322

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    Therapeutic hypothermia is recommended for moderate and severe neonatal encephalopathy, but is being applied to a wider range of neonates than originally envisaged. To examine the clinical use of therapeutic hypothermia, data collected during the first 3 years (2012-2014) of the Baby Cooling Registry of Japan were analysed. Of 485 cooled neonates, 96.5% were &gt;= 36 weeks gestation and 99.4% weighed &gt;= 1,800 g. Severe acidosis (pH &lt; 7 or base deficit &gt;= 16 mmol/L) was present in 68.9%, and 96.7% required resuscitation for &gt; 10 min. Stage II/III encephalopathy was evident in 88.3%; hypotonia, seizures and abnormal amplitude-integrated electroencephalogram were observed in the majority of the remainder. In-hospital mortality was 2.7%; 90.7% were discharged home. Apgar scores and severity of acidosis/encephalopathy did not change over time. The time to reach the target temperature was shorter in 2014 than in 2012. The proportion undergoing whole-body cooling rose from 45.4% to 81.6%, while selective head cooling fell over time. Mortality, duration of mechanical ventilation and requirement for tube feeding at discharge remained unchanged. Adherence to standard cooling protocols was high throughout, with a consistent trend towards cooling being achieved more promptly. The mortality rate of cooled neonates was considerably lower than that reported in previous studies.

  14. Use of Normothermic Default Humidifier Settings Causes Excessive Humidification of Respiratory Gases During Therapeutic Hypothermia International-journal Peer-reviewed

    Shoichiro Tanaka, Sachiko Iwata, Masahiro Kinoshita, Kennosuke Tsuda, Sayaka Sakai, Mamoru Saikusa, Ryota Shindo, Eimei Harada, Junichiro Okada, Tadashi Hisano, Hiroshi Kanda, Yasuki Maeno, Yuko Araki, Kazuo Ushijima, Teruo Sakamoto, Yushiro Yamashita, Osuke Iwata

    THERAPEUTIC HYPOTHERMIA AND TEMPERATURE MANAGEMENT 6 (4) 180-188 2016/12

    Publisher: MARY ANN LIEBERT, INC

    DOI: 10.1089/ther.2016.0005  

    ISSN:2153-7658

    eISSN:2153-7933

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    Adult patients frequently suffer from serious respiratory complications during therapeutic hypothermia. During therapeutic hypothermia, respiratory gases are humidified close to saturated vapor at 37 degrees C (44mg/L) despite that saturated vapor reduces considerably depending on temperature reduction. Condensation may cause serious adverse events, such as bronchial edema, mucosal dysfunction, and ventilator-associated pneumonia during cooling. To determine clinical variables associated with inadequate humidification of respiratory gases during cooling, humidity of inspiratory gases was measured in 42 cumulative newborn infants who underwent therapeutic hypothermia. Three humidifier settings of 37-default (chamber outlet, 37 degrees C; distal circuit, 40 degrees C), 33.5-theoretical (chamber outlet, 33.5 degrees C; distal circuit, 36.5 degrees C), and 33.5-adjusted (optimized setting to achieve 36.6mg/L using feedback from a hygrometer) were tested to identify independent variables of excessively high humidity &gt;40.7mg/L and low humidity &lt;32.9mg/L. The mean (SD) humidity at the Y-piece was 39.2 (5.2), 33.3 (4.1), and 36.7 (1.2) mg/L for 37-default, 33.5-theoretical, and 33.5-adjusted, respectively. The incidence of excessive high humidity was 10.3% (37-default, 31.0%; 33.5-theoretical, 0.0%; 33.5-adjusted, 0.0%), which was positively associated with the use of a counter-flow humidifier (p&lt;0.001), 37-default (compared with 33.5-theoretical and 33.5-adjusted, both p&lt;0.001) and higher fraction of inspired oxygen (p=0.003). The incidence of excessively low humidity was 17.5% (37-default, 7.1%; 33.5-theoretical, 45.2%; 33.5-adjusted, 0.0%), which was positively associated with the use of a pass-over humidifier and 33.5-theoretical (both p&lt;0.001). All patients who used a counter-flow humidifier achieved the target gas humidity at the Y-piece (36.6 +/- 0.5mg/L) required for 33.5-adjusted with 33.5-theoretical. During cooling, 37-default is associated with excessively high humidity, whereas 33.5-theoretical leads to excessively low humidity. Future studies are needed to assess whether a new regimen with optimized Y-piece temperature and humidity control reduces serious respiratory adverse events during cooling.

  15. Paradoxical diurnal cortisol changes in neonates suggesting preservation of foetal adrenal rhythms International-journal Peer-reviewed

    Masahiro Kinoshita, Sachiko Iwata, Hisayoshi Okamura, Mamoru Saikusa, Naoko Hara, Chihoko Urata, Yuko Araki, Osuke Iwata

    SCIENTIFIC REPORTS 6 (35553) 35553-35553 2016/10/18

    Publisher: NATURE PUBLISHING GROUP

    DOI: 10.1038/srep35553  

    ISSN:2045-2322

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    Studies suggested the presence of foetal adrenal rhythms of cortisol, which are entrained in antiphase to maternal rhythms. In contrast, neonates are thought to have no adrenal rhythm until 2-3 months after birth. To test the hypothesis that a foetal-type adrenal rhythm is preserved after birth, saliva samples were collected from 65 preterm/term infants during hospital stay (30-40 weeks corrected age) at 10: 00 and 19: 00 h. Cortisol levels were assessed for their diurnal difference and dependence on antenatal/postnatal clinical variables. Cortisol levels were lower during periods 15-28 days and &gt;28 days than &lt;= 5 days of life. Lower cortisol was associated with pregnancy-induced hypertension (PIH), gestational age &lt;28 weeks, and mechanical ventilation after birth. Higher cortisol was associated with vaginal delivery and non-invasive ventilation support at saliva collection. PIH and non-invasive mechanical ventilation at saliva collection were associated with cortisol levels even after adjustment for postnatal age. Cortisol levels were higher in the evening than in the morning, which was unassociated with gestational and postnatal age. Higher cortisol levels in the evening suggest the preservation of a foetal-type diurnal rhythm. Cortisol levels are associated with intrinsic and extrinsic variables, such as PIH, delivery mode, gestational age, and respiratory conditions.

  16. Region-specific growth restriction of brain following preterm birth International-journal Peer-reviewed

    Sachiko Iwata, Reiji Katayama, Masahiro Kinoshita, Mamoru Saikusa, Yuko Araki, Sachio Takashima, Toshi Abe, Osuke Iwata

    SCIENTIFIC REPORTS 6 (33995) 33995-33995 2016/09/23

    Publisher: NATURE PUBLISHING GROUP

    DOI: 10.1038/srep33995  

    ISSN:2045-2322

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    Regional brain sizes of very-preterm infants at term-equivalent age differ from those of term-born peers, which have been linked with later cognitive impairments. However, dependence of regional brain volume loss on gestational age has not been studied in detail. To investigate the spatial pattern of brain growth in neonates without destructive brain lesions, head MRI of 189 neonates with a wide range of gestational age (24-42 weeks gestation) was assessed using simple metrics measurements. Dependence of MRI findings on gestational age at birth (Age(birth)) and the corrected age at MRI scan (Age(MRI)) were assessed. The head circumference was positively correlated with Age(MRI), but not Age(birth). The bi-parietal width, deep grey matter area and the trans-cerebellar diameter were positively correlated with both Age(birth) and Age(MRI). The callosal thickness (positive), atrial width of lateral ventricle (negative) and the inter-hemispheric distance (negative) were exclusively correlated with Age(birth). The callosal thickness and cerebral/cerebellar transverse diameters showed predominant dependence on Age(birth) over Age(MRI), suggesting that brain growth after preterm-birth was considerably restricted or even became negligible compared with that in utero. Such growth restriction after preterm birth may extensively affect relatively more matured infants, considering the linear relationships observed between brain sizes and Age(birth).

  17. Physiological and pathological clinical conditions and light scattering in brain International-journal Peer-reviewed

    Tsuyoshi Kurata, Sachiko Iwata, Kennosuke Tsuda, Masahiro Kinoshita, Mamoru Saikusa, Naoko Hara, Motoki Oda, Etsuko Ohmae, Yuko Araki, Takashi Sugioka, Sachio Takashima, Osuke Iwata

    SCIENTIFIC REPORTS 6 (31354) 31354-31354 2016/08/11

    Publisher: NATURE PUBLISHING GROUP

    DOI: 10.1038/srep31354  

    ISSN:2045-2322

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    MRI of preterm infants at term commonly reveals subtle brain lesions such as diffuse white matter injury, which are linked with later cognitive impairments. The timing and mechanism of such injury remains unclear. The reduced scattering coefficient of near-infrared light (mu(s)') has been shown to correlate linearly with gestational age in neonates. To identify clinical variables associated with brain mu(s)', 60 preterm and full-term infants were studied within 7 days of birth. Dependence of mu(s)' obtained from the frontal head on clinical variables was assessed. In the univariate analysis, smaller mu(s)' was associated with antenatal glucocorticoid, emergency Caesarean section, requirement for mechanical ventilation, smaller gestational age, smaller body sizes, low 1- and 5-minute Apgar scores, higher cord blood pH and PO2, and higher blood HCO3- at the time of study. Multivariate analysis revealed that smaller gestational age, requirement for mechanical ventilation, and higher HCO3- at the time of study were correlated with smaller mu(s)'. Brain mu(s)' depended on variables associated with physiological maturation and pathological conditions of the brain. Further longitudinal studies may help identify pathological events and clinical conditions responsible for subtle brain injury and subsequent cognitive impairments following preterm birth.

  18. Leisure-Time Physical Inactivity Associated with Vascular Depression or Apathy in Community-Dwelling Elderly Subjects: The Sefuri Study International-journal Peer-reviewed

    Hiroshi Yao, Yuki Takashima, Yuko Araki, Akira Uchino, Takefumi Yuzuriha, Manabu Hashimoto

    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES 24 (11) 2625-2631 2015/11

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.jstrokecerebrovasdis.2015.07.018  

    ISSN:1052-3057

    eISSN:1532-8511

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    Background: Although physical inactivity is a major public health problem, the causative factors for physical inactivity per se are poorly understood. To address this issue, we investigated the relationship between deep white matter lesions (DWMLs) on magnetic resonance imaging, apathy, and physical activities using structural equation modeling (SEM). Methods: We examined 317 community-dwelling elderly subjects (137 men and 180 women with a mean age of 64.5 years) without dementia or clinically apparent depression. Physical activity was assessed with a questionnaire consisting of 3 components (leisure-time, work, and sport activities). Results: The mean score from the apathy scale (a visual analogue version of Starkstein's apathy scale) of the Grades 2-3 DWML group was 420 (95% confidence interval [CI] 379-461), which was lower (more apathetic) than the Grade 0 DWML group score of 478 (95% CI 463-492) after adjustment for education as a covariate. SEM showed that the direct paths from DWMLs or education to apathy were significant, and the direct path from apathy to leisure-time activity was highly significant (beta =.25, P &lt; .001). The degree of apathetic behavior was negatively associated with sport activity in female subjects and positively associated with TV watching in male subjects. Conclusions: The results of the study show that DWMLs are one of the major factors that cause apathetic behavior and that apathy has significant negative effects on leisure-time physical activity in community-dwelling elderly subjects. Even a minor level of apathy without major depression would have a significant impact on activities of daily living and quality of life.

  19. Clinical Study for Evaluation of Efficacy of Repairact to Ichthyosis Peer-reviewed

    Japanese Pharmacology and Therapeutics 43(2) ((2)) 175-180 2015/02

  20. Radiation effects on DNA content of cervical cancer cells: A rapid evaluation of radiation sensitivity by laser scanning cytometry International-journal Peer-reviewed

    Naoki Fujiyoshi, Kimio Ushijima, Kouichiro Kawano, Keizo Fujiyoshi, Tomohiko Yamaguchi, Yuko Araki, Tatsuyuki Kakuma, Sumiko Watanabe, Tsunehisa Kaku, Takashi Nishida, Toshiharu Kamura

    MOLECULAR AND CLINICAL ONCOLOGY 3 (1) 51-54 2015/01

    Publisher: SPANDIDOS PUBL LTD

    DOI: 10.3892/mco.2014.413  

    ISSN:2049-9450

    eISSN:2049-9469

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    Since uterine cervical cancer is regarded as a radiosensive tumor, ionizing radiation is the most frequently used treatment modality against the disease. Although the crucial end-point is radiation-induced cell death, the tumors are not equally sensitive to radiation. Determining the criteria that may be used to predict tumor radiosensitivity is of importance; however, little success has been achieved thus far. In radioresistant cases the therapeutic strategy should be changed, thereby avoiding ineffective or unnecessary treatment. Furthermore, identification of the underlying molecular processes leading to radioresistance may lead to novel radiosensitising strategies. Cervical smears were obtained from seven patients with locally advanced cervical cancer following each radiotherapy, and the radiation-induced damage of cancer tissue was examined by routine cytology. Since the formation of DNA double-strand breaks is considered critical for the cytocidal effect of radiation therapy, the molecular changes of the neoplastic cells were also assessed by laser scanning cytometry (LSC). Radiation-induced morphological changes of cancer cells were evident at a dose of 7.2 Gy, whereas increased DNA content (or DNA index) was observed prior to the onset of morphological changes. Molecular change was detected earlier than the morphological change of the irradiated cancer cells, indicating the feasibility of LSC in predicting the radiosensitivity of cervical cancer tissue.

  21. Gene and cytokine profile analysis of macrolide-resistant Mycoplasma pneumoniae infection in Fukuoka, Japan International-journal Peer-reviewed

    Kentaro Matsuda, Mitsuo Narita, Nobuyuki Sera, Eriko Maeda, Hideaki Yoshitomi, Hitomi Ohya, Yuko Araki, Tatsuyuki Kakuma, Atsushi Fukuoh, Kenji Matsumoto

    BMC INFECTIOUS DISEASES 13 (1) 591-591 2013/12/16

    Publisher: BMC

    DOI: 10.1186/1471-2334-13-591  

    ISSN:1471-2334

    eISSN:1471-2334

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    Background: Recent epidemiologic data suggest that the prevalence of macrolide resistant Mycoplasma pneumoniae (MR-M. pneumoniae) is increasing rapidly worldwide. This study assessed the present status of M. pneumoniae infection in Japan and clinical end-points to distinguish children with MR-M. pneumoniae.Methods: During an outbreak of M. pneumoniae infections in Fukuoka, Japan in 2010-11, a total of 105 children with clinically suspected M. pneumoniae infection were enrolled. M. pneumoniae was analyzed for macrolide resistance in domain V of the 23S rRNA gene. Sixty -five patients with PCR positive for M. pneumoniae were analyzed with regard to clinical symptoms, efficacy of several antimicrobial agents and several laboratory data.Results: Causative pathogens were detected in 81.0% (85 of 105) and M. pneumoniae was identified 61.9% (65 of 105). The resistance rate of M. pneumoniae was 89.2% (58 of 65) in this general pediatric outpatient setting. Patients infected with MR-M. pneumoniae showed longer times to resolution of fever and required frequent changes of the initially prescribed macrolide to another antimicrobial agent. We observed three different genotypes of M. pneumoniae including the rarely reported A2063T mutation (A2063G: 31 strains, A2063T: 27 strains, no mutation: 7 strains). Drug susceptibility testing showed different antimicrobial susceptibility profiles for each genotype. Serum IFN-gamma, IL-6 and IP-10 levels were higher in patients with MR-genotypes than in those infected with no-mutation strains (p &lt 0.001).Conclusions: Macrolide resistance is more common than previously thought and a small epidemic of rarely reported A2063T mutation was observed in Fukuoka, Japan. Furthermore our results reveal the possibility that levels of certain inflammatory cytokines may be a candidate to predict MR-M.pneumoniae infection. © 2013 Matsuda et al. licensee BioMed Central Ltd.

  22. Regularized logistic discrimination with basis expansions for the early detection of Alzheimer's disease based on three-dimensional MRI data Peer-reviewed

    Yuko Araki, Atsushi Kawaguchi, Fumio Yamashita

    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION 7 (1) 109-119 2013/03

    Publisher: SPRINGER HEIDELBERG

    DOI: 10.1007/s11634-013-0127-5  

    ISSN:1862-5347

    eISSN:1862-5355

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    In recent years, evidence has emerged indicating that magnetic resonance imaging (MRI) brain scans provide valuable diagnostic information about Alzheimer's disease. It has been shown that MRI brain scans are capable of both diagnosing Alzheimer's disease itself at an early stage and identifying people at risk of developing Alzheimer's. In this article, we have investigated statistical methods for classifying Alzheimer's disease patients based on three-dimensional MRI data via L2-type regularized logistic discrimination with basis expansions. Preceding studies adopted an open approach when applying three-dimensional data analysis. Our proposed classification model with dimension reduction techniques offers discriminant functions with excellent prediction performance in terms of sensitivity and specificity. © 2013 Springer-Verlag Berlin Heidelberg.

  23. 医用画像データに基づく生存時間解析法(セッション5B 一般セッション)

    荒木 由布子, 川口 淳

    日本計算機統計学会シンポジウム論文集 27 149-150 2013

    Publisher: 日本計算機統計学会

    DOI: 10.20551/jscssymo.27.0_149  

    ISSN:2189-5813

    eISSN:2189-583X

  24. Efficient Regularization Parameter Selection Via Information Criteria Peer-reviewed

    Yuko Araki, Satoshi Hattori

    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 42 (2) 280-293 2013

    Publisher: TAYLOR & FRANCIS INC

    DOI: 10.1080/03610918.2011.639969  

    ISSN:0361-0918

    eISSN:1532-4141

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    In a nonlinear regression model based on a regularization method, selection of appropriate regularization parameters is crucial. Information criteria such as generalized information criterion (GIC) and generalized Bayesian information criterion (GBIC) are useful for selecting the optimal regularization parameters. However, the optimal parameter is often determined by calculating information criterion for all candidate regularization parameters, and so the computational cost is high. One simple method by which to accomplish this is to regard GIC or GBIC as a function of the regularization parameters and to find a value minimizing GIC or GBIC. However, it is unclear how to solve the optimization problem. In the present article, we propose an efficient Newton-Raphson type iterative method for selecting optimal regularization parameters with respect to GIC or GBIC in a nonlinear regression model based on basis expansions. This method reduces the computational time remarkably compared to the grid search and can select more suitable regularization parameters. The effectiveness of the method is illustrated through real data examples.

  25. Study of clinical factors related to intraoperative haemorrhage in 79 low-lying placentas Peer-reviewed

    KURAMOTO Akitaka, HORI Daizo, INOUE Shigeru, HORINOUCHI Takashi, SHINAGAWA Takaaki, KOUZUMA Yutaka, SHIMOMURA Takuya, KAWATA Takanobu, HAYASHI Ryunosuke, KAMURA Toshiharu, YAMASHITA Takuto, ARAKI Yuuko, KAKUMA Tatsuyuri

    47 (4) 873-877 2011/12/20

    ISSN:1348-964X

  26. Prefrontal brain function in children with anorexia nervosa: A near-infrared spectroscopy study International-journal Peer-reviewed

    Shinichiro Nagamitsu, Yuko Araki, Tetsuya Ioji, Fumiko Yamashita, Shuichi Ozono, Michiko Kouno, Chiho Iizuka, Munetsugu Hara, Ikuhiko Shibuya, Takashi Ohya, Yushiro Yamashita, Akira Tsuda, Tatsuyuki Kakuma, Toyojiro Matsuishi

    BRAIN & DEVELOPMENT 33 (1) 35-44 2011/01

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.braindev.2009.12.010  

    ISSN:0387-7604

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    To investigate the prefrontal hemodynamic response during a cognitive task in childhood anorexia nervosa (AN), we measured regional cerebral blood volume changes in terms of changes in hemoglobin concentrations [Hb], using near-infrared spectroscopy (NIRS). Sixteen females with AN (mean age 14.2 years old) and 12 age-matched healthy female control subjects (mean age 14.3 years old) participated in this study. Waveform patterns for [Hb] during the word fluency task differed between the two groups, although their task performances showed no significant difference. In the control group, the [total-Hb] and [oxy-Hb] immediately increased and the [deoxy-Hb] immediately decreased after the beginning of the task and gradually reached the baseline level after the end of the task. The patients with AN were consistently characterized by an unchanged or less fluctuating response pattern of [total-Hb], [oxy-Hb] and [deoxy-Hb] during the task and rest periods. In the AN group, subjects with higher Eating Attitudes Test (EAT-26) scores showed higher [oxy-Hb] during the task. On the other hand, in the control group, subjects with higher EAT-26 scores showed lower [oxy-Hb] during the task. The grand waveforms of each [Hb] during a motor activation task, which was applied as a control task, did not differ significantly between two groups. The different prefrontal hemodynamic responses might indicate that AN subjects might apply fewer brain circuits or fewer neurons per circuit during cognitive tasks and might use different brain circuits in relation to their preoccupation with eating behaviors. (C) 2010 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

  27. Comparison of the strengths and difficulties questionnaire (SDQ) scores between children with high-functioning autism spectrum disorder (HFASD) and attention-deficit/hyperactivity disorder (AD/HD) International-journal Peer-reviewed

    Chiho Iizuka, Yushiro Yamashita, Shinichiro Nagamitsu, Takuto Yamashita, Yuko Araki, Takashi Ohya, Munetsugu Hara, Ikuhiko Shibuya, Tatsuyuki Kakuma, Toyojiro Matsuishi

    BRAIN & DEVELOPMENT 32 (8) 609-612 2010/09

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.braindev.2009.09.009  

    ISSN:0387-7604

    eISSN:1872-7131

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    The aim of this research was to compare the Strengths and Difficulties Questionnaire (SDQ) scores and subscale scores in children with high-functioning autism spectrum disorder (HFASD) and attention-deficit/hyperactivity disorder (AD/HD), and also to clarify the differences between parent- and teacher-assessed SDQ scores/subscores in HFASD and AD/HD children. These patients&apos; total difficulties scores were significantly high compared to the community sample. In the parent rating, HFASD children had significantly higher scores in the subscales of emotional symptoms and peer problems. In the teacher rating, AD/HD children showed significantly higher scores in the subscales of hyperactivity/inattention and conduct problems, whereas peer problems were significantly higher in HFASD. The teacher rating showed significantly greater difficulties than the parent rating on the subscale of pro-social behavior in both the AD/HD and HFASD groups. These results suggest that each subscale may reflect behavioral, emotional, and social characteristics of HFASD and AD/HD. (C) 2009 Elsevier B.V. All rights reserved.

  28. Characteristic prefrontal blood volume patterns when imaging body type, high-calorie food, and mother-child attachment in childhood anorexia nervosa: A near infrared spectroscopy study Peer-reviewed

    Shinichiro Nagamitsu, Fumiko Yamashita, Yuko Araki, Chiho Iizuka, Shuichi Ozono, Hiroko Komatsu, Takashi Ohya, Yushiro Yamashita, Tatsuyuki Kakuma, Akira Tsuda, Toyojiro Matsuishi

    BRAIN & DEVELOPMENT 32 (2) 162-167 2010/02

    Publisher: ELSEVIER

    DOI: 10.1016/j.braindev.2009.01.002  

    ISSN:0387-7604

    eISSN:1872-7131

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    The aim of this study was to investigate the prefrontal activation in childhood anorexia nervosa (AN) patients when imaging symptom-provocative factors such as body type, high-calorie food, and attachment between mother and child. The prefrontal activations during each task, in terms of blood Volume changes, were measured by near infrared spectroscopy. Twelve females with childhood AN (mean age, 14.4 years old) and 13 age-matched healthy female controls (mean age, 14.3 years old) participated in this study. Both groups showed increased prefrontal blood volume when viewing images of each symptom-provocative factor. Unexpectedly, there was no significant difference in the prefrontal blood volume increases between the control group and the childhood AN group When viewing images of slender and obese body types and high-calorie food. On the other hand, images of mother-child attachment resulted in significantly greater increases in prefrontal blood volume in the childhood AN group than in the control group. These results indicated that prefrontal activation in AN might be associated with imaging attachment between mother and child, but not associated with imaging body type or high-calorie food. (C) 2009 Elsevier B.V. All rights reserved.

  29. Characteristic prefrontal blood volume patterns when imaging body type, high-calorie food, and mother-child attachment in childhood anorexia nervosa: A near infrared spectroscopy study. International-journal Peer-reviewed

    Shinichiro Nagamitsu, Fumiko Yamashita, Yuko Araki, Chiho Iizuka, Shuichi Ozono, Hiroko Komatsu, Takashi Ohya, Yushiro Yamashita, Tatsuyuki Kakuma, Akira Tsuda, Toyojiro Matsuishi

    Brain & development 32 (2) 162-7 2010/02

    Publisher: ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER

    DOI: 10.1016/j.braindev.2009.01.002  

    ISSN:0924-9338

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    The aim of this study was to investigate the prefrontal activation in childhood anorexia nervosa (AN) patients when imaging symptom-provocative factors such as body type, high-calorie food, and attachment between mother and child. The prefrontal activations during each task, in terms of blood volume changes, were measured by near infrared spectroscopy. Twelve females with childhood AN (mean age, 14.4 years old) and 13 age-matched healthy female controls (mean age, 14.3 years old) participated in this study. Both groups showed increased prefrontal blood volume when viewing images of each symptom-provocative factor. Unexpectedly, there was no significant difference in the prefrontal blood volume increases between the control group and the childhood AN group when viewing images of slender and obese body types and high-calorie food. On the other hand, images of mother-child attachment resulted in significantly greater increases in prefrontal blood volume in the childhood AN group than in the control group. These results indicated that prefrontal activation in AN might be associated with imaging attachment between mother and child, but not associated with imaging body type or high-calorie food.

  30. Functional regression modeling via regularized Gaussian basis expansions Peer-reviewed

    Yuko Araki, Sadanori Konishi, Shuichi Kawano, Hidetoshi Matsui

    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 61 (4) 811-833 2009/12

    Publisher: SPRINGER HEIDELBERG

    DOI: 10.1007/s10463-007-0161-1  

    ISSN:0020-3157

    eISSN:1572-9052

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    We consider the problem of constructing functional regression models for scalar responses and functional predictors, using Gaussian basis functions along with the technique of regularization. An advantage of our regularized Gaussian basis expansions to functional data analysis is that it creates a much more flexible instrument for transforming each individual&apos;s observations into functional form. In constructing functional regression models there remains the problem of how to determine the number of basis functions and an appropriate value of a regularization parameter. We present model selection criteria for evaluating models estimated by the method of regularization in the context of functional regression models. The proposed functional regression models are applied to Canadian temperature data. Monte Carlo simulations are conducted to examine the efficiency of our modeling strategies. The simulation results show that the proposed procedure performs well especially in terms of flexibility and stable estimates.

  31. A pilot study on the changes in immunity after ACTH therapy in patients with West syndrome International-journal Peer-reviewed

    Takashi Ohya, Toshisaburo Nagai, Yuko Araki, Takashi Yanagawa, Takuya Tanabe, Kuniaki Iyoda, Mana Kurihara, Kazuya Yamamoto, Kenji Masunaga, Chiho Iizuka, Shinichiro Nagamitsu, Yushiro Yamashita, Yutaka Awaya, Kihei Maekawa, Toyojiro Matsuishi

    BRAIN & DEVELOPMENT 31 (10) 739-743 2009/11

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.braindev.2008.11.007  

    ISSN:0387-7604

    eISSN:1872-7131

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    Adrenocorticotropic hormone (ACTH) has been the first-line drug for the treatment ofWest syndrome, although the therapy has various adverse effects. ACTH depresses resistance to a variety of bacterial, viral, protozoal, and fungal agents. The timing of the various vaccinations is delayed after ACTH therapy in Japan, because the immune system is believed to be affected for approximately 6 months. However, the duration of the effect of ACTH oil the immune system is not known. Therefore, we examined changes in the immunity levels before and after ACTH therapy. We measured white blood cell counts, lymphocyte counts, T/B cell counts, CD4(+) and CD8(+) T cell counts, CD 4/8 ratio, lymphocyte blastoid transformation by PHA or Con-A, and the levels of IgA, IgM, and IgG before, immediately after, and 1, 31 6, and 12 months after ACTH therapy. The lymphocyte counts and CD4(+) T cell counts were significantly decreased immediately after and at I and 3 months after the therapy, and did not return to the previous levels even at 6 months and 12 months after ACTH treatment, however, these levels returned to within normal limits (within the 95% confidence interval). Immunoglobulin levels did not change after the ACTH therapy. Helper T cells were more depressed than cytotoxic T cells after ACTH therapy. (C) 2008 Elsevier B.V. All rights reserved.

  32. Therapeutic hypothermia can be induced and maintained using either commercial water bottles or a "phase changing material'' mattress in a newborn piglet model Peer-reviewed

    S. Iwata, O. Iwata, L. Olson, A. Kapetanakis, T. Kato, S. Evans, Y. Araki, T. Kakuma, T. Matsuishi, F. Setterwall, H. Lagercrantz, N. J. Robertson

    ARCHIVES OF DISEASE IN CHILDHOOD 94 (5) 387-391 2009/05

    Publisher: BMJ PUBLISHING GROUP

    DOI: 10.1136/adc.2008.143602  

    ISSN:0003-9888

    eISSN:1468-2044

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    Background: Therapeutic hypothermia, a safe and effective treatment for neonatal encephalopathy in an intensive care setting, is not available in low-resource settings. Aims/Methods: To assess two low-tech, low-cost cooling devices for use in low-resource settings: (i) commercially available water bottles filled with tepid water (25 degrees C); (ii) a mattress made of phase changing material (PCM) with a melting point of 32 degrees C (PCM works as a heat buffer at this temperature). Eleven anaesthetised newborn piglets were studied following transient hypoxia-ischaemia. The cooling device was applied 2-26 h after hypoxia-ischaemia with a target rectal temperature (T-rectal) of 33-34 degrees C. T-rectal undershoot was adjusted using cotton blankets; the cooling device was renewed when T-rectal rose above 35 degrees C. T-rectal data during cooling were dichotomised (within or without target) to assess: (a) the total period within the target T-rectal range; (b) the stability and fluctuation of T-rectal during cooling. Results: Therapeutic hypothermia was achieved with both water bottles (n=5) and the PCM mattress (n=6). The mean (SD) time to reach target T-rectal was 1.8 (0.5) h with water bottles and 1.9 (0.3) h with PCM. PCM cooling led to a longer period within the target T-rectal range (p&lt;0.01) and more stable cooling (p&lt;0.05). Water bottle cooling required device renewal (in four out of five piglets). Conclusion: Simple, low-tech cooling devices can induce and maintain therapeutic hypothermia effectively in a porcine model of neonatal encephalopathy, although frequent fine tuning by adjusting the number of blankets insulating the piglet was required to maintain a stable temperature. PCM may induce more stable cooling compared with water bottles.

  33. Functional Logistic Discrimination Via Regularized Basis Expansions Peer-reviewed

    Yuko Araki, Sadanori Konishi, Shuichi Kawano, Hidetoshi Matsui

    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 38 (16-17) 2944-2957 2009

    Publisher: TAYLOR & FRANCIS INC

    DOI: 10.1080/03610920902947246  

    ISSN:0361-0926

    eISSN:1532-415X

    More details Close

    We introduce a functional logistic discrimination based on basis expansions with the help of regularization, which classifies functional data into several distinct groups. A crucial issue in model building process is the choice of regularization parameters. Choosing these parameters can be viewed as a model selection and evaluation problem. We derive a Bayesian model selection criterion for evaluating models estimated by the method of regularization in the context of functional logistic discrimination. Monte Carlo experiments are conducted to examine the efficiency of the proposed functional discrimination procedure. We also apply our procedure to the analysis of yeast cell cycle microarray data. The results show that our modeling procedure provides useful tools for classifying functions or curves.

  34. Scale properties for the Japanese version of the Strengths and Difficulties Questionnaire(SDQ) Peer-reviewed

    Toyojiro Matsuishi, Miki Nagano, Yuko Araki, Yoshiyuki Tanaka, Mizue Iwasaki, Yushiro Yamashita, Schinichiro Nagamitsu, Chiho Iizuka, Takashi Ohya, Kunihiko Shibuya, Munetsugu Hara, Kentaro Matsuda, Akira Tsuda, Tatsuyuki Kakuma

    Brain and Development 30 (6) 410-415 2008/12

  35. Multivariate regression modeling for Functional Data Peer-reviewed

    Hidetoshi Matsui, Yuko Araki, Sadanori Konishi

    Journal of Data Science 6 313-331 2008/12

  36. Scale properties of the Japanese version of the Strengths and Difficulties Questionnaire (SDQ): A study of infant and school children in community samples International-journal Peer-reviewed

    Toyojiro Matsuishi, Miki Nagano, Yuko Araki, Yoshiyuki Tanaka, Mizue Iwasaki, Yushiro Yamashita, Schinichiro Nagamitsu, Chiho Iizuka, Takashi Ohya, Kunihiko Shibuya, Munetsugu Hara, Kentaro Matsuda, Akira Tsuda, Tatsuyuki Kakuma

    BRAIN & DEVELOPMENT 30 (6) 410-415 2008/06

    Publisher: ELSEVIER SCIENCE BV

    DOI: 10.1016/j.braindev.2007.12.003  

    ISSN:0387-7604

    eISSN:1872-7131

    More details Close

    The Strengths and Difficulties Questionnaire (SDQ) is a short screening instrument which addresses the positive and negative behavioral attributes of infants, children and adolescents. The SDQ is widely used to evaluate child developmental disabilities, psychological and psychiatric conditions or disorders in Japan. However, we did not have normative data for the Japanese version until now. To establish the community-based data and properties for the Japanese version, we collected and evaluated parent ratings of a total of 2899 Japanese children aged 4-12 years, including 1463 boys and 1436 girls. Statistical evaluation of psychometric properties included a factor analysis verifying the proposed scale structure, an assessment of scale homogeneities, and the determination of age, gender and relationship of each difficulties scale, or prosocial scale. The total difficulties score in boys (8.70 +/- 5.03) was higher than in girls (7.86 +/- 4.88). Based on the distributions of SDQ scores observed in the Japanese community sample, recommended bandings identifying normal, borderline, and abnormal (clinical ranges) were defined for each scale, and some gender difference was found in some difficulties and prosocial SDQ scores. After evaluating parent ratings obtained in a community-based sample, the Japanese SDQ was shown to possess favorable psychometric properties. Thus, the Japanese translation of this popular and versatile instrument seems to be approximately as reliable and useful as the original English questionnaire.

  37. Functional supervised and unsupervised classification of gene expression data Peer-reviewed

    Araki Y, Konishi S

    Proc. COMPSTAT 2006, Springer. 1105-1112 2006/12

  38. Functional discriminant analysis for microarray gene expression data via radial basis function networks Peer-reviewed

    Araki Y, Konishi S, Imoto S

    Proc. COMPSTAT2004, Springer 613-620 2004/12

    Publisher: None

  39. 動径基底関数展開に基づく関数回帰モデリング Peer-reviewed

    荒木 由布子, 小西 貞則

    応用統計学 = Japanese journal of applied statistics / 応用統計学会 編 33 (3) 243-256 2004/10

    Publisher: 応用統計学会

    ISSN:0285-0370

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Misc. 12

  1. ロジスティック回帰分析を用いた守備の評価の定量化

    中野空, 大嶋夏乃, 澤木大輔, 澤本拓真, 荒木由布子

    統計数理研究所共同研究リポート439, スポーツデータ解析における理論と事例に関する研究集会 7 123-128 2020/03/01

  2. 初回走者一塁におけるエンドランの成功要因分析 (奨励賞受賞)

    田邊倭,Kim Taejin,板東蓉子,荒木由布子

    第10回スポーツデータ解析コンペティション報告書 - 2020

  3. 関数データ解析

    荒木由布子

    2019年日本計量生物学会・応用統計学会 チュートリアルセミナー 1-78 2019/05/01

  4. Physical Inactivity Associated With Vascular Depression or Apathy Leads to Hippocampal Atrophy and Memory Dysfunction in Community-dwelling Elderly Subjects: The Sefuri Study Peer-reviewed

    Hiroshi Yao, Yuko Araki, Yuki Takashima, Kohjiro Nogami, Akira Uchino, Takefumi Yuzuriha, Manabu Hashimoto

    STROKE 47 2016/02

    Publisher: LIPPINCOTT WILLIAMS & WILKINS

    ISSN:0039-2499

    eISSN:1524-4628

  5. 高次元脳画像解析のための二段階正則化関数判別モデル

    荒木 由布子, 川口淳

    応用統計学会2012年度年会講演予稿集 33-38 2012/05/01

  6. 三次元脳画像によるアルツハイマー病早期発見のための関数データ解析

    荒木 由布子

    応用統計学会2011年度年会講演予稿集 67-72 2011

  7. 関数データ解析の三次元脳画像解析への応用(セッション2B)

    川口 淳, 荒木 由布子, 山下 典生

    日本計算機統計学会大会論文集 25 85-88 2011

    Publisher: 日本計算機統計学会

    DOI: 10.20551/jscstaikai.25.0_85  

    ISSN:2189-5821

    eISSN:2189-5848

  8. Regularized functional classification of the kinetic trace of developmental mouse retina Peer-reviewed

    Yuko Araki

    Proceedings of Australian Statistical Conference 2010 2010 55 2010

  9. 情報量規準に基づく効率的な正則化パラメータ選択(セッション2A)

    荒木 由布子, 服部 聡

    日本計算機統計学会シンポジウム論文集 23 119-120 2009/11/01

    Publisher: 日本計算機統計学会

    DOI: 10.20551/jscssymo.23.0_119  

    ISSN:2189-5813

    eISSN:2189-583X

  10. Regularized functional logitic discrimination and its application to the longitunal data

    Araki, Yuko

    Proceedings of the 2nd International Kurume Symposium on Biostatistics 92-97 2008

  11. Functional discriminant analysis via radial basis function expansion and model selection criterion

    Araki Y, Konishi S

    Proc. COE conference on the DMHF 195-198 2007/12/01

  12. 正則化基底展開法による関数化主成分分析

    荒木 由布子

    統計数理研究所共同研究集会講演論文集 243-274 2005/12/01

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Books and Other Publications 4

  1. Pythonで学ぶ確率統計 (探検データサイエンス)

    尾畑 伸明, 荒木 由布子

    共立出版 2023/10/04

    ISBN: 4320125215

  2. 精神医学領域の論文を読みこなすキーワード100!

    鬼塚俊明 他

    新興医学出版社 2023/01/20

    ISBN: 488002886X

  3. The Neuroscience of Dementia, volume 2: Genetics, Neurology, Behavior

    Yao H, Araki Y, Yamashita F, Sasaki M, Hashimoto M

    Academic Press 2020/09

  4. バイオ統計の基礎―医薬統計入門 (バイオ統計シリーズ)

    柳川 堯, 荒木 由布子

    近代科学社 2010/02/01

    ISBN: 4764903873

Presentations 110

  1. Encounter and Journey with Statistics Invited

    Yuko Araki

    International Day of Women in Statistics and Data Science (Session: Fostering Diversity and Inclusion in Japan's Data Science Landscape) 2023/10

  2. 時空間・高次元データ解析手法の開発 ~バイオ統計センターでの共同研究をきっかけとして~ Invited

    荒木由布子

    第21回 久留米大学バイオ統計センター 創立20周年記念講演会 特別講演 2023/09/29

  3. プレナリーセッション「J. Chiou (National Taiwan University, Academia Sinica):Multiple change-point detection in functional data」

    Yuko Araki (セッションオーガナイザー・指定討論者)

    2023年度統計関連学会連合大会 2023/09

  4. Statistical modeling of time-varying physical quantities for tactile evaluation of automotive materials Invited

    Yuko Araki

    Forum “Math-for-Industry” (FMfI) 2023 -Mfl2.0- 2023/09

  5. Functional mixture cure model and its application Invited

    Yuko Araki

    6th International Conference on Econometrics and Statistics (EcoSta 2023) 2023/08

  6. DX時代の統計学の新しい潮流〜データ記述・科学的推論・因果推論・モデリング〜 Invited

    荒木由布子

    東北大学大学院情報科学研究科 創立30周年 記念パネル討論『情報科学の最前線:AI進化がもたらす人間社会へのインパクトに迫る』 2023/07/29

  7. Mixture cure model with functional data covariates

    Yuko Araki

    2023/06

  8. 多変量関数主成分分析とクラスタリングを用いた手話学習支援システムの構築

    高須優, 西田昌史, 澤木大輔, 荒木由布子, 西村雅史

    情報処理学会第85回全国大会 2023/03

  9. Functional mediation analysis with model selection

    Y. Araki

    15th International Conference of the ERCIM WG on Computational and Methodological Statistics 2022/12

  10. Latency estimation for P-spline mixture cure model

    Workshop on Informatics 2022 2022/12

  11. Statistical Modeling for the Nonlinear Structure of Quantiles in Hierarchical Data via Regularization Invited

    Araki, Yuko

    Risk and Statistics, 3rd Tohoku-ISM-UUlm Joint Workshop 2022/10

  12. 多変量関数凸クラスタリングの提案と手話学習データへの適用

    澤木 大輔, 西田 昌史, 荒木 由布子

    2022年度統計関連学会連合大会 2022/09

  13. Biostatistical modeling for the analysis of the cortisol circadian rhythm in infants

    Yuko Araki

    8th Annual Data Science in Engineering and Life Sciences Symposium 2022/08

  14. 関数データ解析入門 Invited

    荒木 由布子

    中央大学研究機構 講演会 2022/07

  15. Survival analysis with several classes of functional data as covariates Invited

    Yuko Araki

    The 5th International Conference on Econometrics and Statistics 2022/06

  16. 共分散構造分析を用いた野球における「勝負強さ」の探索

    田邊倭, 板東蓉子, 荒木由布子

    日本統計学会スポーツ統計分科会 第11回スポーツデータ解析コンペティション 2022/01

  17. ぷよぷよeスポーツにおける先制の概念の検討と勝因の分析

    松谷康平, 山元佑京, 土居亮介, 金子楓果, 荒木由布子

    日本統計学会 スポーツ統計分科会 第11回スポーツデータ解析コンペティション 2022/01

  18. 関数データ解析の基礎と実践 Invited

    荒木 由布子

    計量生物学会主催 2021年度計量生物セミナー 「相関のあるデータの解析」 2022/01

  19. Functional survival analysis with convex clustering Invited

    Yuko Araki

    The 14th International Conference on Computational and Methodological Statistics 2021 2021/12

  20. Changes in alcohol consumption pattern during the COVID-19 pandemic

    Bando, Y, Yamamoto, U, Ojima, T, Akamatsu, Y, Araki Y

    The 26th Shizuoka forum on health and longevity 2021/11

  21. Constructing a prediction model for ocular fundus abnormalities using health big data in Hamamatsu

    Sawaki, D, Mizunaga,N, Ojima, T, Akamatsu, Y, Araki Y

    The 26th Shizuoka forum on health and longevity 2021/11

  22. 非線形構造を有する経時測定データのためのBayesian nonparametric quantile mixed-effects models Invited

    荒木由布子

    久留米大学バイオ統計センター 公開セミナー 2021/11

  23. 関数順序付きロジスティック回帰モデルによる官能評価予測

    櫻田 京之介, 澤木 大輔, 荒木 由布子, 久岡 未来

    2021年度統計関連学会連合大会 2021/09

  24. Functional convex clustering

    澤木 大輔, 櫻田 京之介, 荒木 由布子

    2021年度統計関連学会連合大会 2021/09

  25. 多変量関数主成分分析を用いた手話学習支援システムの構築

    高須 優, 櫻田 京之介, 荒木 由布子, 西田 昌史, 綱川 隆司, 西村 雅史

    情報処理学会アクセシビリティ研究会 第16回研究会 2021/07

  26. 医学研究における統計的モデリング Invited

    荒木由布子

    浜松工業会東京支部 2020年度活動報告会および講演会 2021/03

  27. Functional survival analysis with several classes of trajectories International-presentation Invited

    Yuko Araki

    CMStatistics 2020 2020/12

  28. 初回走者一塁におけるエンドランの成功要因分析

    田邊 倭, 板東 蓉子, Kim Taejin, 荒木由布子

    第10回スポーツデータ解析コンペティション 2020/12

  29. グラフィカルモデリングを用いたハイプレス有効性の検討

    大嶋夏乃, 澤本拓真, 澤木大輔, 金子楓果, 荒木由布子

    第10回スポーツデータ解析コンペティション 2020/12

  30. Study on the impacts of regional differences and care-receivers’ age on the demand for care services by text mining

    Daisuke Sawaki, Fuka Kaneko, Yamato Tanabe, Yuko Araki, Ataru Shindo, Natsumi Harada, Chiaki Yagura

    第25回静岡健康・長寿学術フォーラム 2020/11

  31. Characterization of sign language movement at multiple body parts using multivariate functional principal component analysis

    Kyonosuke Sakurada, Yuko Araki, Yuki Izumi, Masafumi Nishida

    第25回静岡健康・長寿学術フォーラム 2020/11

  32. ガウス過程分位点回帰モデリングと新生児ホルモン分泌リズムの解明

    田辺佑太, 荒木由布子

    2020年度科研費シンポジウム「多様な分野のデータに対する統計科学・機械学習的アプローチ」 2020/09

  33. 多変量関数主成分分析による手話学習者の多部位挙動分析

    櫻田京之介, 荒木由布子, 和泉勇希, 西田昌史

    2020年度統計関連学会連合大会 2020/09

  34. 不確実性の中からの知識価値生成 ~医学研究における統計モデルの探求~ Invited

    荒木由布子

    第118回肥前セミナー 2020/07

  35. Functional structural equation modeling with high dimensional data in medical research International-presentation Invited

    Yuko Araki

    12th Computational and Methodological Statistics 2019 2019/12

  36. Analysis of circadian rhythm of cortisol secretion in newborns with nonparametric quantile mixed effects model

    Yuta Tanabe, Yuko Araki, Osuke Iwata

    第24回 静岡健康・長寿学術フォーラム 2019/11

  37. 関数データ解析の基礎と使い方・「関数データ解析とは」「データの関数化」 Invited

    荒木由布子

    日本行動計量学会 秋の行動計量セミナー 2019/11

  38. 基底関数展開による非線形分位点混合効果モデリングと新生児コルチゾールデータへの適用

    田辺佑太, 荒木由布子

    2019年度統計関連学会連合大会 2019/09

  39. 関数データに基づく構造方程式モデリング Invited

    荒木由布子

    応用統計学会 企画セッション「関数データ解析」, 2019年度統計関連学会連合大会 2019/09

  40. Nonlinear quantile mixed-effect models based on basis expansions International-presentation

    Tanabe, Y, Araki, Y

    Data Science, Statistics & Visualization 2019 2019/08

  41. Functional survival data analysis with direct and indirect effects for high dimensional data International-presentation Invited

    Yuko Araki

    Organized Invited session; "Advanced methods in spatio-temporal data analysis in biostatistics", The 3rd International Conference on Econometrics and Statistics 2019 2019/06

  42. チュートリアルセミナー「関数データ解析」 (オーガナイザー,講師) Invited

    荒木 由布子

    2019年度日本計量生物学会・応用統計学会 2019/05

  43. 基底関数展開を用いた非線形混合効果モデルの提案

    田辺佑太, 荒木由布子

    応用統計学会2019年年会 2019/05

  44. Functional classification with direct and indirect effects for high dimensional data International-presentation Invited

    Yuko Araki

    Computational and Methodological Statistics 2018 2018/12

  45. Evaluation of JAGES questionnaire based on non-parametric Item Response Theory

    Takuya Hashimoto, Yuta Tanabe, Ayano Terada, Yuko Araki, Eisaku Okada, Toshiyuki Ojima

    第23回静岡健康長寿フォーラム 2018/11

  46. Stability Selection for multilevel data and its application to Japan Gerontological Evalution Study Data

    Takashi Kamada, Yuko Araki, Eisaku Okada, Toshiyuki Ojima, Katsunori Kondo

    第23回静岡健康長寿フォーラム 2018/11

  47. 高次元データのための直接・間接効果を考慮した関数判別モデル

    荒木 由布子

    『予測モデリングとその周辺―機械学習・統計科学・情報理論からのアプローチー』 (科研費基盤Aシンポジウム) 2018/11

  48. Functional classification for high dimensional data International-presentation Invited

    Yuko Araki

    The 2nd International Conference on Econometrics and Statistics 2018 2018/06

  49. Functional classification method and structural equation modeling for high dimensional data Invited

    Yuko Araki

    第310回広島統計談話会 2018/05

  50. Functional path analysis with composite basis expansions. International-presentation Invited

    Araki, Y

    10th International coference on Computational and Methodological Statistics 2017 2017/12

  51. Comparison of the effects on analysis results by imputation of missing values in the cross-sectional study of community-dwelling elderly people in Sefuri village

    Ohashi J, Nasu A, Tanabe Y, Yao H, Araki Y

    第22回静岡健康・長寿学術フォーラム 2017/11

  52. Simulation of Optimum selection of pharmacies during a disaster in Hamamatsu City

    Takahashi T, Kamada T, Araki Y, Ozeki K, Okada E, Ojima T

    第22回静岡健康・長寿学術フォーラム 2017/11

  53. MRI データに基づくアルツハイマー病早期発見のための統計的モデリング Invited

    荒木 由布子

    第1回生物統計・疫学公開講演会 2017/11

  54. Risk factors for the onset of long-term care need in community-dwelling older people in Japan: 10year follow-up study of participants in the JAGES project International-presentation

    Araki, Y

    World Congress of Epidemiology 2017 2017/08

  55. MRIデータに基づくアルツハイマー病早期発見のための統計的モデリング

    荒木 由布子

    BIO tech 2017 アカデミックフォーラム 2017/06

  56. 地域在住一般住民における認知機能評価のための多角的アプローチ

    八尾博史, 荒木由布子, 高橋由紀, 内野晃, et

    日本脳ドック学会総会 2017/06

  57. 潜在性脳梗塞に対する保護因子としての出産数: 地域在住の一般住民における検討

    八尾博史, 荒木由布子, 高島由紀, 内野晃, 杠岳文

    第42回日本脳卒中学会総会 2017/03

  58. 特別セッション「数理統計研究者と生物統計家の連携について考えよう」 Invited

    二宮嘉行, 藤澤洋徳, 高橋邦彦, 田栗正隆, 荒木由布子

    シンポジウム:「統計科学が切り拓く個別化医療:方法論・実践のフロンティア」 2017/03

  59. Regional comparison of risk factors related to the onset of certification of long-term care need in community-dwelling elderly people in Japan: Follow-up study of participants in the JAGES project

    Kamada, T, Okuno, S, Araki, Y, Okada, E, Ojima, T

    第21回静岡健康・長寿学術フォーラム 2016/11

  60. Propensity score analysis of causal effects of silent brain infarction on cognitive dysfunction: the Sefuri Study

    Shimizu, T, Ishikawa, Y, Yao, H, Araki, Y

    第21回静岡健康・長寿学術フォーラム 2016/11

  61. Analysis of risk factors of silent brain infarction using the Bayesian Network: the Sefuri Study

    Mena, M, Terada, A, Yao, H, Araki, Y

    第21回静岡健康・長寿学術フォーラム 2016/11

  62. 10年間追跡調査に基づく要介護認定リスクモデルの探索的検討

    荒木 由布子, 岡田 栄作, 近藤 克則, 尾島 俊之

    JAGES研究会 2016/11

  63. 大規模追跡調査に基づく要介護認定リスクモデルの提案

    荒木 由布子, 岡田 栄作, 尾島 俊之, 近藤 克則

    科研費シンポジウム「複雑な生命現象を読み解くための大規模データ解析とモデリング」 2016/11

  64. 潜在性脳梗塞における生物学的性差:地域在住の一般住民における検討

    八尾博史, 目名まりあ, 荒木由布子

    第39回日本高血圧学会総会 2016/09

  65. Sparse functional classification method with composite basis function for early detection of Alzheimer's disease based on brain MRI

    Araki, Y, Kawaguchi, A

    The XXVIIIth International Biometric Conference 2016/07

  66. Physical inactivity associated with vascular depression or apathy leads to hippocampal atrophy and memory dysfunction in community-dwelling elderly subjects: The Sefuri study. International-presentation

    Yao H, Araki Y, Takashima Y, Nogami K, Uchino A

    International Stroke Conference 2016/02

  67. Intrinsic feature extraction via functional data analysis. International-presentation Invited

    Araki Y

    8th International Conference of the ERCIM WG on Computational and Methodological Statistics 2015/12

  68. Elucidation of factors related to the onset of certification of long-term care need in community-dwelling elderly people in Japan:10-year follow-up study of participants in the JAGES project.

    Eisaku Okada, Yuko Araki, Katsunori Kondo, Hiroshi Hirai, Toshiyuki Ojima

    第20回静岡健康・長寿学術フォーラム 2015/10

  69. 10年間追跡調査に基づく高齢者の 要介護認定リスク因子の探索的検討

    荒木 由布子, 岡田栄作, 近藤克則, 尾島俊之

    科研費シンポジウム「生命科学データ解析の方 法論と健康科学への応用」 2015/10

  70. Statistics modeling for high dimensional data and its application in Biostatistics ~Functional sparse logistic discrimination via composite basis expansions~

    荒木 由布子

    第8回東海地区生物統計ネットワークセミナー 2015/05

  71. 大腸病変におけるNBI観察下surface pattern/vascular patternと病理組織構築の関係

    前山泰彦, 野田哲裕, 長田修一郎, 河野弘志, 荒木 由布子

    第88回日本消化器内視鏡学会総会 2014/10

  72. Two-step regularized Cox proportional hazard model for high-dimensional brain MRI data International-presentation

    Araki Y, Kawaguchi A

    27th International Biometric Conference 2014/06

  73. 医用画像データに基づく生存時間解析法

    荒木 由布子, 川口 淳

    日本計算機統計学会第27回シンポジウム 2013/11

  74. 二段階正則化に基づく生存時間解析法と脳画像データへの適用

    荒木 由布子, 川口 淳

    2012年度統計関連学会連合大会 2012/09

  75. Two-Way Regularized Functional Classification for High Dimensional Brain MRI Data International-presentation

    Araki, Y, Kawaguchi, A

    26th International Biometric Conference 2012/08

  76. 正則化関数データモデリングとその適用 Invited

    荒木 由布子

    第7回Biostatistics Network 2012/08

  77. 高次元脳画像解析のための二段階正則化関数判別モデル

    荒木 由布子, 川口 淳

    応用統計学会2012年度年会 2012/05

  78. The analysis of high-dimensional brain image via sparse principal component functional regression International-presentation

    Yuko Araki, Atsushi Kawaguchi, Fumio Yamashita

    East Asia Regional Biometric Conference 2012 2012/01

  79. The early detection of Alzheimer’s diseases based on MRI data via sparse functional logistic classification

    Yuko Araki, Atsushi Kawaguchi, Fumio Yamashita

    Joint Meeting of the 2011 Taipei International Statistical Symposium and 7th Conference of the Asian Regional Section of the IASC 2011/12

  80. 認知症早期発見のための三次元脳画像に基づく関数データ解析

    荒木 由布子, 川口 淳, 山下 典生

    2011年度統計関連学会連合大会 2011/09

  81. 三次元脳画像によるアルツハイマー病早期発見のための関数データ解析

    荒木 由布子, 川口 淳, 山下 典生

    応用統計学会2011年度年会 2011/05

  82. 関数データ解析の三次元脳画像解析への応用

    川口 淳, 荒木 由布子, 山下 典生

    日本計算機統計学会第25回大会 2011/05

  83. Regularized functional classification of the kinetic trace of developmental mouse retina International-presentation

    Yuko Araki

    Australian Statistical Conference 2010/12

  84. 情報量規準に基づく効率的な正則化パラメータ選択

    荒木 由布子, 服部 聡

    日本計算機統計学会第23回シンポジウム 2009/11

  85. 情報量規準に基づく効率的な正則化パラメータ選択

    荒木 由布子, 服部聡

    2009年度統計関連学会連合大会 2009/09

  86. Application of Survival Analysis in Latent Variable Models International-presentation

    Wan-Ling Hsu, Kazuo Neriishi, Tatsuyuki Kakuma, Yuko Araki, Phil Ross

    Joint statistical Meeting 2009/08

  87. An efficient regularization parameter selection procedure based on information criteria International-presentation

    Yuko Araki, Satoshi Hattori

    The 1st Institute of Mathematical Statistics Asia Pacific Rim Meeting 2009/06

  88. Application of Survival Analysis in Latent Variable Models

    Wan-Ling Hsu, Kazuo Neriishi, Tatsuyuki Kakuma, Yuko Araki, Phil Ross

    The 3rd International Kurume Symposium on Biostatistics 2009/01

  89. Application of Causal Modeling on Radiation, Inflammation, and Selected Radiation/Inflammation-Induced Health Outcomes International-presentation

    Tatsuyuki Kakuma, Yuko Araki, Wan-Ling Hsu, Eiji Nakashima, Norman P. Ross

    2008 Joint Statistical Meetings 2008/08

  90. Functional Logistic Discrimination and its Application to the Proteomics Trajectory Data International-presentation

    Yuko Araki

    International Biometric Conference 2008/07

  91. Regularized functional logistic discrimination and its application to the longitudinal data

    Araki, Y

    The 2nd International Kurume Symposium on Biostatistics 2008/02

  92. Functional discriminant analysis via radial basis function expansion and model selection criterion

    Araki Y

    COE conference on the development of DMHF 2007/10

  93. スプラインモデルに基づく繰り返し測定データの解析:小児免疫データへの応用

    荒木 由布子

    The sixth Kurume International Biostatistics Forum 2007/09

  94. 関数応答データに基づく回帰モデリングとその応用

    松井 秀俊, 荒木 由布子, 小西 貞則

    2006年度統計関連学会連合大会 2006/09

  95. Functional supervised and unsupervised classification of gene expression data International-presentation

    Araki Y, Konishi S

    COMPSTAT 2006, 17th Conference of IASC-ERS 2006/08

  96. 正則化法に基づく多変量関数回帰モデリングとスペクトルデータ解析への応用

    松井 秀俊, 荒木 由布子, 小西 貞則

    科学研究費シンポジウム 2005/11

  97. 関数データに基づく多変量回帰モデリングとその応用

    松井 秀俊, 荒木 由布子, 小西 貞則

    統計関連学会連合大会 2005/09

  98. 関数判別モデルに基づくマイクロアレイ遺伝子発現データの解析

    荒木 由布子

    システム生命科学府学際開拓創成セミナーII 2005/06

  99. 正則化基底展開法による関数データに基づく統計的モデリング

    荒木 由布子

    第7回21世紀COE機能数理学セミナー 2005/05

  100. 正則化基底展開法による関数化主成分分析

    茅野 光範, 荒木 由布子, 小西 貞則

    統計数理研究所共同研究集会「ノンパラメトリック・セミパラメトリック統計学」 2005/03

  101. ウェーブレットによる関数データ判別

    藤井 亨, 荒木 由布子, 小西 貞則

    第9回 BICシンポジウム 2004/12

  102. 関数データに基づく主成分分析とその応用

    茅野 光範, 荒木 由布子, 小西 貞則

    第9回 BICシンポジウム 2004/12

  103. 正則化基底展開法に基づく関数データ判別

    荒木 由布子, 小西 貞則

    2004年度統計関連学会連合大会 2004/09

  104. Functional Discriminant Analysis for Microarray Gene Expression Data via Radial Basis Function Networks International-presentation

    Araki, Y, Konishi, S, Imoto, S

    COMPSTAT 2004, 16th Smposium of IASC 2004/08

  105. Functional discriminant analysis via regularized radial basis function networks International-presentation

    Araki, Y, Konishi, S

    2004 International Conference on Statistics, Mathematics and Related Fields 2004/06

  106. 関数データ解析とその応用

    荒木 由布子, 小西 貞則

    第8回 BICシンポジウム 2003/12

  107. Functional regression model via radial basis function networks International-presentation

    Araki Y, Konishi S

    The 2nd. International Conference on Statistics, Mathematics and Related Fields 2003/06

  108. 動径基底関数展開に基づく関数回帰モデリング

    荒木 由布子, 小西 貞則

    応用統計学会第25回シンポジウム 2003/05

  109. 関数回帰モデリングについて

    荒木 由布子, 小西 貞則

    研究集会「ノンパラメトリック統計モデルと平滑化法」 2003/03

  110. 関数回帰モデリングについて

    荒木 由布子

    統計科学セミナー 2003/03

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Research Projects 14

  1. 新たな複雑系データのための関数データ解析手法の開発と適用

    荒木 由布子, 尾畑 伸明, 今泉 允聡, 岩田 欧介, 川野 秀一, 山本 倫生

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 基盤研究(B)

    Institution: 東北大学

    2023/04 - 2027/03

  2. Extended exposure of preterm infants to maternal voice to improve neuro-developmental outcomes

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: Nagoya City University

    2020/04/01 - 2025/03/31

  3. 基礎理論・モデリング・実践の三位一体型研究による高次元多層データの記述法開発

    荒木 由布子

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 学術変革領域研究(A)

    Category: 学術変革領域研究(A)

    Institution: 東北大学

    2023/04 - 2025/03

  4. Innovative Developments of Theories and Methodologies for Large Complex Data

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)

    Category: Grant-in-Aid for Scientific Research (A)

    Institution: University of Tsukuba

    2020/04 - 2025/03

  5. 関数データ解析に基づく高次元データのための新たな統計的モデリングの開発と適用 Competitive

    荒木 由布子, 岩田 欧介

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 基盤研究(C)

    Category: 基盤研究(C)

    Institution: 静岡大学

    2020/04/01 - 2023/03/31

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    本研究は、時間・空間で変動する高次元データ(観測点数>>標本数)に,関数データ解析法による新たな統計モデルの理論的・実践的開発を行うものである. 関数データ解析とは,各個体や対象に対して,離散点で経時的・空間的に観測・測定された一組のデータを滑らかな関数として捉えて次元縮小(平滑化)を行い,その関数化データの集合から有効に情報を抽出するための統計モデルからなる一連の手法である.本研究は,大きくわけて3つの段階から構成されている. 第1段階は, 高次元データの関数データ化である. 研究対象の高次元データは複雑な構造をもつため,柔軟な基底関数の選択を行う.特に多層構造の高次元データの場合に,各層に特有の効果と誤差の仮定をおき,展開を工夫してバイアスを最小とする計画であった.2020年度は後述の通り, 第3段階の内容と関連した理由から, 非線形混合効果モデルとベイズ推定を組み合わせたアプローチで階層構造のあるデータを扱うモデルを構築した. 第2段階は, 関数データ集合に対する解析モデルの開発である. 対象データを非高次元データから多層高次元データへと進化させ,3種の統計モデルを開発する.多層構造の高次元データのための関数一般化線形モデル, さらに関数構造方程式モデルを構築して,高次元データも含む変数間の機序の解明を可能とする.2020年度は, 第3段階の内容と関連した理由から, 関数構造方程式モデルの検討を行い, さらに凸クラスタリングを関数データの枠組みで展開し,その情報をCox比例ハザードモデルの説明変数に与えたモデルを構築した. 第3段階は,医学・工学データに新モデルを適用する実践的研究である. 2020年度は分担者や協力者から提供された実際の問題への取り組みを開始し, 対象となる現象や研究目的により, 本研究の第1段階と第2段階の具体的な取り組みを決定した.

  6. Quantum probability and asymptotic analysis of large finite systems

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Tohoku University

    2019/04/01 - 2023/03/31

  7. 「医工情分野の超高次元データ解析のための理論・応用間フィードバック型研究開発」 Competitive

    Offer Organization: 静岡大学高柳記念未来技術創造基金支援事業

    2018/10/01 - 2021/09/01

  8. 「サッカー選手の試合時パフォーマンスビッグデータの数理統計学的分析」 Competitive

    Offer Organization: 浜松科学技術研究振興会

    2019/09/01 -

  9. The development of statistical models based on function data for the high-dimensional medical data Competitive

    Araki Yuko

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

    Category: Grant-in-Aid for Young Scientists (B)

    2014/04/01 - 2018/03/31

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    In this research, we have developed statistical models to extract useful information from super-high dimensional data without loss of information by creating some new dimension reduction techniques. We constructed a classification model which detects onset of some disease on early stage based on MRI data. Further, we elucidated a mechanism between brain structure, levels of activity and clinical endpoints. In addition, the survival model with sparse constraints were applied to the long term and large sample size follow up data aimed at realizing health longevity society in Japan. All the results described above were presented at both domestic and international conferences. We had further worked out for constructing functional structural equation modeling(SEM). However, since there were some issues which need further consideration regarding to characteristics of estimator, the SEM modeling was still developing.

  10. ビッグデータに基づく要介護認定へのプロセス解明のための統計手法の開発 Competitive

    Offer Organization: 浜松科学技術研究振興会

    2015/09/01 -

  11. Functional data analysis for medical data and its application Competitive

    ARAKI Yuko

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

    Category: Grant-in-Aid for Young Scientists (B)

    Institution: Kurume University

    2010/04/01 - 2012

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    To extract valuable information from medical data which has a lots of observational points result in high dimensional data with complex structure, we developed statistical methods and applied them to the analysis of medical data. We proposed functional data analytic approach for dimension reduction of high dimensional data such as medical imaging data, brain waves or shape data. We further proposed classification model for high dimensional data and its evaluation methods. We also developed an efficient nonlinear model selection method based on information criterion. The proposed methods were applied to life science problems.

  12. Development of functional ANOVA models for multi-state survival data and its applications

    YANAGAWA Takashi, KAKUMA Tatsuyuki, HATTORI Satoshi, YONEMOTO Kouji, ARAKI Yuko, YOUNG Truong Kinh-Nhue, TETUJI Ohyama

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

    Category: Grant-in-Aid for Scientific Research (B)

    Institution: Kurume University

    2008 - 2010

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    New method for the analysis of event history data is developed by weakening the assumption of Semi-Markov property and by modeling not only the waiting time of transition from a state to the other state, but also transition probability, separately, by means of covariates that are transformed by spline functions so that it enables to evaluate their non-linear effects. The method is applied to several medical data and its usefulness is demonstrated.

  13. 癌治療の臨床試験における経時データ解析のための解析手法開発と応用の研究 Competitive

    Offer Organization: 久留米大学

    2007/04/01 - 2008/03/01

  14. 遺伝子発現時系列データ解析技法の開発

    柳川 尭, 荒木 由布子, 角間 辰之

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業 萌芽研究

    Category: 萌芽研究

    Institution: 久留米大学

    2007 - 2008

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    ・典型的なタンパク質の時系列トラジェクトリーは,生物学的知識を適用して幾つかの群に分類し,群ラベルを与えることができる場合が多い.このようなラベルが付けられたデータを学習データとして用いて,ラベルが付けられなかったタンパク質の(非典型的)時系列トラジェクトリーを判別するのに有用な関数ロジスティック判別分析法を開発した.この方法は,離散的ないくつかの時点において観測されたデータを,滑らかな関数を観測したときの誤差を伴う実現値と考え,この関数を基底関数展開で近似した上で,平滑化法によって推定するというアイディアで,まず潜在する真のタンパク質の質量変化トラジェクトリー曲線を推定する.次にロジスティックモデルを導入し,非典型的なデータの判別に適用する方法である.方法論として新しく,国際計量生物学会等で発表するとともに論文として公表した. ・オクラホマ大学医学部松本博行教授のグループは,427個のスポットにおける生後1,3,5,7,9,14,21,28日目のマウス網膜のタンパク質を,2次元ゲルを用いて観測している.また, Haniu et al. (2006)はこのデータのうち134個のタンパク質の典型的トラジェクトリーをJuvenile, Adult, Transientの3群にラベリングしている.開発した方法を適用し,除外基準をみたす残りの231個について判別をおこない有意義な結果をえたこの結果を学術専門誌に投稿するための作業を行っている.

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Teaching Experience 17

  1. Modeling in Statistical Mathematics Tohoku University

  2. Statistical modeling Tohoku University

  3. Introduction to mathematical statistics Tohoku University

  4. Introduction to mathematical statistics Tohoku University

  5. 統計学入門 静岡大学

  6. 統計学特論 静岡大学

  7. 情報学方法論/ 情報学方法論演習 静岡大学

  8. 情報拡散過程論 静岡大学

  9. 社会モデル及びシミュレーション 静岡大学

  10. 基礎数学Ⅰ 静岡大学

  11. Multivariate analysis Shizuoka University

  12. Bio-Data Mining Kurume University

  13. Bio-Data modeling Kurume University

  14. Theory of Biostatistics Kurume University

  15. Basic Biostatistics Kurume University

  16. 数理・統計モデリング 静岡大学

  17. データアナリティクスⅠ 静岡大学

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Social Activities 11

  1. 浜松ウエルネスプロジェクトによる健康ビッグデータ解析

    2021/03 - Present

  2. IoTシステムアーキテクト養成プログラム・プロジェクト2「統計解析入門」

    2018/06 - Present

  3. 出前授業「統計学初級」

    2021/07 - 2023/03

  4. 人が物体に触れた時の挙動波形と官能評価の分析手法に関する研究

    2020/09 - 2021/10

  5. 情報学部の魅力と数理データサイエンス研究の紹介

    高校出張授業

    2021/10 -

  6. 情報学部・行動情報学科の魅力と数理データサイエンス研究の紹介

    高校出張授業

    2020/10 -

  7. 医療で活用される数理統計学

    静岡大学・11機関「理系女子夢みっけ☆応援プロジェクト in しずおか」継続プロジェクト

    2018 -

  8. カナダと統計科学と

    2017 -

  9. 統計モデルに基づく健康寿命リスク因子探索

    ナノからマイクロまでを俯瞰できる分野横断型理系イノベーション人材の育成 第1回シンポジウム

    2017 -

  10. 医療・健康・身体:根拠に基づく医学への数理統計学の挑戦~QOL向上のために~

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