Updated on 2024/04/04

写真a

 
Ohoka Tadao
 
Organization
Graduate Faculty of Interdisciplinary Research Faculty of Medicine Basic Science for Clinical Medicine (Health Sciences, Basic Science for Clinical Medicine) Senior Assistant Professor
Title
Senior Assistant Professor

Research History

  • 山梨大学医学部社会医学講座   助教

    2017.4

  • University of Yamanashi (Clinical Education Center)

    2015.4 - 2017.3

Degree

  • doctor of philosophy in medicine ( 2019.6   University of Yamanashi )

  • Bachelor of Medicine ( 2015.3   University of Yamanashi )

Research Projects

  • AIとオミックス情報の融合による先制医療の社会実装への挑戦

    2024.4 - 2031.3

    国立研究開発法人 科学技術振興機構  創発的研究支援事業 

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    Authorship:Principal investigator  Type of fund::Others

  • 血清proteomeによる乳児細気管支炎の病態異質性の同定

    2022.4 - 2023.3

    上原記念生命科学財団  海外留学助成金リサーチフェローシップ 

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    Authorship:Principal investigator  Type of fund::Donation

  • 人工知能による健康予測が個人の健康増進に与える影響の検討:ランダム化比較試験

    2021.4 - 2025.3

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    Authorship:Principal investigator  Type of fund::Science research expense

  • 疫学データに対する人工知能技術適用の枠組みの検証と提案

    2019.4 - 2021.3

Papers

  • Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study Reviewed Major achievement

    Frontiers in Immunology   2023.2( ISSN:1664-3224 )

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Proteomics endotyping of infants with severe bronchiolitis and risk of childhood asthma Reviewed Major achievement

    ALLERGY   2022.5( ISSN:0105-4538 )

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Association between Maternal Exposure to Chemicals during Pregnancy and the Risk of Foetal Death: The Japan Environment and Children’s Study Reviewed

    International Journal of Environmental Research and Public Health   2021.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Proteome signature difference between respiratory viruses is associated with severity of bronchiolitis Reviewed

    PEDIATRIC ALLERGY AND IMMUNOLOGY   2021.11( ISSN:0905-6157 )

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Artificial Intelligence Approaches to Type 2 Diabetes Risk Prediction and Exploration of Predictive Factors Reviewed

    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY   2021.9( ISSN:0300-5771 )

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan Reviewed

    BMJ Nutrition, Prevention & Health   2021.1

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Individual and Regional Characteristics Associated with Maternal Smoking During Pregnancy in Japan: Healthy Parents and Children 21 Reviewed

    International Journal of Environmental Research and Public Health   2019.12( ISSN:1660-4601 )

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  • Association between time-appropriate vaccinations in early childhood and individualand community-level factors in Japan Reviewed

        2019.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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Books and Other Publications

  • AIの時代

    ( Role: Contributor)

    医学書院  2021.2 

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    Language:Japanese   Book type:General book, introductory book for general audience

  • 子どもの睡眠

    大岡忠生、山縣然太朗( Role: Contributor)

    医学書院  2019.3 

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    Responsible for pages:pp.226-229   Language:Japanese   Book type:Scholarly book

Presentations

  • 機械学習を活用した将来の健康診断検査値の予測方法の検討

    大岡忠生、横道洋司、山縣然太朗

    第31回日本疫学会学術総会  2021.1 

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    Event date: 2021.1

    Language:Japanese   Presentation type:Oral presentation(general)  

  • Deep Learning を活用して健康診断結果から糖尿病発症を予測する方法の検討

    大岡忠生、横道洋司、山縣然太朗

    第79回日本公衆衛生学会総会  2020.10 

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    Event date: 2020.10

    Language:Japanese   Presentation type:Oral presentation(general)  

  • 機械学習技術を用いて健康診断結果から糖尿病発症を予測する方法の検討

    大岡忠生、横道洋司、山縣然太朗

    第30回日本疫学会学術総会  2020.2 

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    Event date: 2020.2

    Language:Japanese   Presentation type:Oral presentation(general)  

  • 予防医療分野における疫学データへの機械学習技術活用について ~スパースモデリングを活用した糖尿病発症予測と予測因子探索~

    大岡忠生、日野英逸、横道洋司、山縣然太朗

    統計数理研究所共同利用研究集会 ~統計的機械学習の新展開~  2020.1 

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    Event date: 2020.1

    Language:Japanese   Presentation type:Oral presentation(invited, special)  

  • 人工知能技術を活用した2型糖尿病のリスク予測手法の検証と疾患予測因子の探索

    大岡忠生、横道洋司、山縣然太朗

    第78回日本公衆衛生学会総会  2019.10 

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    Event date: 2019.10

    Language:Japanese   Presentation type:Oral presentation(general)  

  • 問診票とSpO2モニタを併用した従業員に対する睡眠スクリーニング方法の検討

    大岡忠生、須田みゆき、山縣然太朗

    第92回日本産業衛生学会  2019.5 

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    Event date: 2019.5

    Language:Japanese   Presentation type:Oral presentation(general)  

  • 事業所が一丸となって取り組む従業員への睡眠介入とその効果~事業所と健康管理室の連携による健康経営の実現に向けて~

    大岡忠生、須田みゆき

    パナソニックグループ健康フォーラム2019  2019.3 

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    Event date: 2019.3

    Language:Japanese   Presentation type:Oral presentation(general)  

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Industrial Property Rights

  • 脂質異常症患者または高血圧症患者における大麦レスポンダー判定モデルおよび判定方法

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    Application no:特願2021-072133  Date applied:2021.4

Awards

  • 第92回 日本産業衛生学会 若手優秀演題賞(口演)

    2020.5   問診票とSpO2モニタを併用した従業員に対する睡眠スクリーニング方法の検討

    大岡忠生

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    Award type:Award from Japanese society, conference, symposium, etc. 

  • パナソニックグループ健康フォーラム2019 最優秀演題賞

    2019.3   パナソニック健康保険組合   事業所が一丸となって取り組む従業員への睡眠介入とその効果~事業所と健康管理室の連携による健康経営の実現に向けて~

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    Award type:Award from Japanese society, conference, symposium, etc. 

Guidance results

  • 2021

    Type:Ph.D. dissertations guidance

    Number of people receiving guidance :3people 

  • 2020

    Type:Ph.D. dissertations guidance  Year guidance time:50hours

    Number of people receiving guidance :1people 

  • 2019

    Type:Master's (Major B course)dissertations guidance  Year guidance time:50hours

    Number of people receiving guidance :1people 

    Graduation / pass / number of people awarded degrees :1people 

  • 2019

    Type:Ph.D. dissertations guidance  Year guidance time:50hours

    Number of people receiving guidance :1people 

Social Activities

  • 生活習慣病の基礎知識-健康寿命の延伸のために今できること-

    Role(s): Lecturer

    山梨県甲州市  甲州市食生活改善推進員養成講習  2020.1