OOKA Tadao 大岡忠生

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Ooka Tadao 大岡忠生

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Researcher Number	40803987
Other IDs	https://orcid.org/0000-0002-1343-3986
Affiliation (Current)	2026: 山梨大学, 大学院総合研究部, 准教授
Affiliation (based on the past Project Information) *help	2024 – 2025: 山梨大学, 大学院総合研究部, 准教授 2023: 山梨大学, 大学院総合研究部, 講師 2019 – 2022: 山梨大学, 大学院総合研究部, 特任助教 2021: 山梨大学, 大学院総合研究部, 助教
Review Section/Research Field	Principal Investigator Basic Section 58030:Hygiene and public health-related: excluding laboratory approach / Basic Section 59040:Nutrition science and health science-related Except Principal Investigator Basic Section 54040:Metabolism and endocrinology-related
Keywords	Principal Investigator 機械学習 / 人工知能 / 健康診断 / 疾患予測モデル / ネットワークモデル / 代謝ネットワーク / 生活習慣病 / オミクス情報 / 健康予測モデル / 保健指導 … More / 個別化医療 / 疾患予測 / 先制医療 / ランダム化比較試験 / 保険指導 / ランダムフォレスト / 糖尿病 … More Except Principal Investigator 動脈硬化 Less

エピゲノムから紐解く糖尿病治療に伴う血管内皮細胞のメタボリック・メモリー消去機構
- Principal Investigator
  
  土屋恭一郎
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 54040:Metabolism and endocrinology-related
- Research Institution
  University of Yamanashi
Development and validation of a metabolic network AI model for representing and evaluating metabolic states based on multi-omics dataPrincipal Investigator
- Principal Investigator
  
  大岡忠生
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 59040:Nutrition science and health science-related
- Research Institution
  University of Yamanashi
Evaluating the Effects of Artificial Intelligence-Aided Health Guidance on Personal Health Promotion: A Randomized Controlled TrialPrincipal Investigator
- Principal Investigator
  
  Ooka Tadao
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  University of Yamanashi
Validation and proposal of a framework for the application of artificial intelligence techniques to epidemiological dataPrincipal Investigator
- Principal Investigator
  
  Ooka Tadao
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  University of Yamanashi

All 2025 2021 2020 2019

All Journal Article Presentation Book

[Book] 公衆衛生2021
- Author(s)
  大岡忠生
- Total Pages
  6
- Publisher
  医学書院
- Data Source
  KAKENHI-PROJECT-19K19433
[Journal Article] The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration2025
- Author(s)
  Tadao Ooka
- Journal Title
  
  JMA Journal
  
  Volume: 8 Issue: 1 Pages: 1-10
- DOI
  10.31662/jmaj.2024-0213
- ISSN
  2433-328X, 2433-3298
- Year and Date
  2025-01-15
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-24K02856
[Journal Article] Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan2021
- Author(s)
  Tadao Ooka, Hisashi Johno, Kazunori Nakamoto, Yoshioki Yoda, Hiroshi Yokomichi, Zentaro Yamagata
- Journal Title
  
  BMJ Nutrition, Prevention & Health
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K19433
[Journal Article] 425Artificial Intelligence Approaches to Type 2 Diabetes Risk Prediction and Exploration of Predictive Factors2021
- Author(s)
  Ooka Tadao、Yokomichi Hiroshi、Yamagata Zentaro
- Journal Title
  
  International Journal of Epidemiology
  
  Volume: 50 Issue: Supplement_1 Pages: 106989-106989
- DOI
  10.1093/ije/dyab168.515
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K19433, KAKENHI-PROJECT-18K17376
[Presentation] Artificial Intelligence Approaches to Type 2 Diabetes Risk Prediction and Exploration of Predictive Factors2021
- Author(s)
  Tadao Ooka
- Organizer
  International Journal of Epidemiology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K19433
[Presentation] 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2021
- Author(s)
  大岡忠生、横道洋司、山縣然太朗
- Organizer
  第31回日本疫学会学術総会
- Data Source
  KAKENHI-PROJECT-19K19433
[Presentation] 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2020
- Author(s)
  大岡忠生、横道洋司、山縣然太朗
- Organizer
  第79回日本公衆衛生学会総会
- Data Source
  KAKENHI-PROJECT-19K19433
[Presentation] 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2020
- Author(s)
  大岡忠生、横道洋司、山縣然太朗
- Organizer
  第30回日本疫学会学術総会
- Data Source
  KAKENHI-PROJECT-19K19433
[Presentation] 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～2020
- Author(s)
  大岡忠生、日野英逸、横道洋司、山縣然太朗
- Organizer
  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~
- Data Source
  KAKENHI-PROJECT-19K19433
[Presentation] 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2019
- Author(s)
  大岡忠生、横道洋司、山縣然太朗
- Organizer
  第78回日本公衆衛生学会総会
- Data Source
  KAKENHI-PROJECT-19K19433

1. 土屋恭一郎 (60451936)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 三宅邦夫 (60550712)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 小島諒介 (70807651)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

OOKA Tadao 大岡 忠生

Ooka Tadao 大岡 忠生

Research Projects

Research Products

Co-Researchers

エピゲノムから紐解く糖尿病治療に伴う血管内皮細胞のメタボリック・メモリー消去機構

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development and validation of a metabolic network AI model for representing and evaluating metabolic states based on multi-omics dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Evaluating the Effects of Artificial Intelligence-Aided Health Guidance on Personal Health Promotion: A Randomized Controlled TrialPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Validation and proposal of a framework for the application of artificial intelligence techniques to epidemiological dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] 公衆衛生2021

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration2025

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan2021

Author(s)

Journal Title

Data Source

[Journal Article] 425Artificial Intelligence Approaches to Type 2 Diabetes Risk Prediction and Exploration of Predictive Factors2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] Artificial Intelligence Approaches to Type 2 Diabetes Risk Prediction and Exploration of Predictive Factors2021

Author(s)

Organizer

Data Source

[Presentation] 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2021

Author(s)

Organizer

Data Source

[Presentation] 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2020

Author(s)

Organizer

Data Source

[Presentation] 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2020

Author(s)

Organizer

Data Source

[Presentation] 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～2020

Author(s)

Organizer

Data Source

[Presentation] 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2019

Author(s)

Organizer

Data Source

OOKA Tadao 大岡忠生

Ooka Tadao 大岡忠生

[Presentation] 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～2020