Inoue Kousuke 井上浩輔

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Inoue Kosuke 井上浩輔

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Researcher Number	80903830
Other IDs
Affiliation (Current)	2025: 京都大学, 白眉センター, 特定准教授
Affiliation (based on the past Project Information) *help	2023 – 2025: 京都大学, 白眉センター, 特定准教授 2023: 京都大学, 学内共同利用施設等, 准教授 2021 – 2023: 京都大学, 医学研究科, 助教 2022: 京都大学, 医学研究科, 特定准教授
Review Section/Research Field	Principal Investigator Basic Section 58030:Hygiene and public health-related: excluding laboratory approach / 0902:General internal medicine and related fields Except Principal Investigator Basic Section 58010:Medical management and medical sociology-related
Keywords	Principal Investigator 因果推論 / 心血管疾患 / 機械学習 / 糖尿病 / 心血管イベント / 異質性 / 疫学 / メンタルヘルス / 家族 / 個別化医療 … More / 社会経済因子 / 社会決定要因 / 生活習慣病 / 一般化 / 血圧管理 / 心血管 / 高血圧 … More Except Principal Investigator セグメンテーション・ナッジ / 疑似実験デザイン / 行動特性 / 因果推論 / セグメンテーションナッジ / 行動インサイト / 大規模ヘルスデータ / データサイエンス / 疫学 / 行動変容 / ナッジ Less

Elucidating the mechanisms of the mental health burden of family member's cardiovascular diseasesPrincipal Investigator
- Principal Investigator
  
  井上浩輔
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Kyoto University
Precision Medicine for Diabetes Care Using Causal Modeling and Artificial IntelligencePrincipal Investigator
- Principal Investigator
  
  井上浩輔
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research)
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Kyoto University
Identification of the mechanisms from social determinants of health to cardiovascular events mediated through diabetes.Principal Investigator
- Principal Investigator
  
  Inoue Kosuke
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Kyoto University
Development and implementation of segmentation nudges based on behavioural and health data.
- Principal Investigator
  
  福間真悟
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 58010:Medical management and medical sociology-related
- Research Institution
  Hiroshima University
  Kyoto University
Heterogeneity and Generalizability of the effectiveness of intensive blood pressure control to prevent cardiovascular events.Principal Investigator
- Principal Investigator
  
  Inoue Kosuke
- Project Period (FY)
  2021 – 2022
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0902:General internal medicine and related fields
- Research Institution
  Kyoto University

All 2024 2023 2022

All Journal Article Presentation

[Journal Article] Harnessing Causal Forests for Epidemiologic Research: Key Consideration2024
- Author(s)
  Shiba Koichiro、Inoue Kosuke
- Journal Title
  
  American Journal of Epidemiology
  
  Volume: - Issue: 6 Pages: 813-818
- DOI
  10.1093/aje/kwae003
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17392
[Journal Article] Association Between Educational Status and Mortality According to Diabetes Status Among US Adults2023
- Author(s)
  Komura Toshiaki、Kondo Naoki、Bhatt Karan、Inoue Kosuke
- Journal Title
  
  Mayo Clinic Proceedings: Innovations, Quality & Outcomes
  
  Volume: 7 Issue: 4 Pages: 203-211
- DOI
  10.1016/j.mayocpiqo.2023.04.007
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17392
[Journal Article] Heterogeneity in the Association Between the Presence of Coronary Artery Calcium and Cardiovascular Events: A Machine-Learning Approach in the MESA Study2023
- Author(s)
  Inoue Kosuke、Seeman Teresa E.、Horwich Tamara、Budoff Matthew J.、Watson Karol E.
- Journal Title
  
  Circulation
  
  Volume: 147 Issue: 2 Pages: 132-141
- DOI
  10.1161/circulationaha.122.062626
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17392
[Journal Article] Trends in Cardiovascular Risk Factors by Income Among Japanese Adults Aged 30-49?Years From 2017 to 2020: A Nationwide Longitudinal Cohort Study2023
- Author(s)
  Inoue Kosuke、Kondo Naoki、Sato Koryu、Fukuma Shingo
- Journal Title
  
  Endocrine Practice
  
  Volume: 29 Issue: 3 Pages: 185-192
- DOI
  10.1016/j.eprac.2022.12.018
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17392
[Journal Article] The effect of poverty on the relationship between household education levels and obesity in U.S. children and adolescents: an observational study2023
- Author(s)
  Inoue Kosuke、Seeman Teresa E.、Nianogo Roch、Okubo Yusuke
- Journal Title
  
  The Lancet Regional Health - Americas
  
  Volume: 25 Pages: 100565-100565
- DOI
  10.1016/j.lana.2023.100565
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17392
[Journal Article] Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management2023
- Author(s)
  Inoue Kosuke、Athey Susan、Tsugawa Yusuke
- Journal Title
  
  International Journal of Epidemiology
  
  Volume: Online ahead of print Issue: 4 Pages: 1243-1256
- DOI
  10.1093/ije/dyad037
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20900, KAKENHI-PROJECT-22K17392
[Journal Article] Association of Intensive Blood Pressure Control and Living Arrangement on Cardiovascular Outcomes by Race2022
- Author(s)
  Inoue Kosuke、Watson Karol E.、Kondo Naoki、Horwich Tamara、Hsu William、Bui Alex A. T.、Duru O. Kenrik
- Journal Title
  
  JAMA Network Open
  
  Volume: 5 Issue: 3 Pages: e222037-e222037
- DOI
  10.1001/jamanetworkopen.2022.2037
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H04071, KAKENHI-PROJECT-21K20900
[Presentation] Machine-learning based high-benefit approach versus conventional high-risk approach in blood pressure management2023
- Author(s)
  Kosuke Inoue
- Organizer
  Society for Epidemiologic Research
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20900
[Presentation] 厳格な血圧管理が心血管イベントを抑制する効果の、人種・居住形態による異質性評価：大規模RCTの一般化応用2022
- Author(s)
  井上浩輔
- Organizer
  日本疫学会
- Data Source
  KAKENHI-PROJECT-21K20900

1. 福間真悟 (60706703)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 佐々木周作 (20814586)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 池之上辰義 (70761443)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 白井こころ (80530211)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 宮脇敦士 (30841928)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. KONDO Katsunori

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
7. 近藤尚己

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Inoue Kousuke 井上 浩輔

Inoue Kosuke 井上 浩輔

Research Projects

Research Products

Co-Researchers

Elucidating the mechanisms of the mental health burden of family member's cardiovascular diseasesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Precision Medicine for Diabetes Care Using Causal Modeling and Artificial IntelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Identification of the mechanisms from social determinants of health to cardiovascular events mediated through diabetes.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development and implementation of segmentation nudges based on behavioural and health data.

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Heterogeneity and Generalizability of the effectiveness of intensive blood pressure control to prevent cardiovascular events.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Harnessing Causal Forests for Epidemiologic Research: Key Consideration2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Association Between Educational Status and Mortality According to Diabetes Status Among US Adults2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Heterogeneity in the Association Between the Presence of Coronary Artery Calcium and Cardiovascular Events: A Machine-Learning Approach in the MESA Study2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Trends in Cardiovascular Risk Factors by Income Among Japanese Adults Aged 30-49?Years From 2017 to 2020: A Nationwide Longitudinal Cohort Study2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The effect of poverty on the relationship between household education levels and obesity in U.S. children and adolescents: an observational study2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Association of Intensive Blood Pressure Control and Living Arrangement on Cardiovascular Outcomes by Race2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] Machine-learning based high-benefit approach versus conventional high-risk approach in blood pressure management2023

Author(s)

Organizer

Data Source

[Presentation] 厳格な血圧管理が心血管イベントを抑制する効果の、人種・居住形態による異質性評価：大規模RCTの一般化応用2022

Author(s)

Organizer

Data Source

Inoue Kousuke 井上浩輔

Inoue Kosuke 井上浩輔