Development and validation of 10-year risk prediction models of cardiovascular disease in Chinese type 2 diabetes mellitus patients in primary care using interpretable machine learning-based methods.

Journal: Diabetes, obesity & metabolism
Published Date: Jul 15, 2024

Abstract

AIM: To develop 10-year cardiovascular disease (CVD) risk prediction models in Chinese patients with type 2 diabetes mellitus (T2DM) managed in primary care using machine learning (ML) methods.

Authors

  • Weinan Dong
    Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China.
  • Eric Yuk Fai Wan
    Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China.
  • Daniel Yee Tak Fong
    School of Nursing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
  • Kathryn Choon-Beng Tan
    Department of Medicine, University of Hong Kong, Hong Kong, China.
  • Wendy Wing-Sze Tsui
    Department of Family Medicine & Primary Healthcare, Hong Kong West Cluster, Hosptial Authority, Hong Kong, China.
  • Eric Ming-Tung Hui
    Department of Family Medicine, New Territories East Cluster, Hospital Authority, Hong Kong, China.
  • King Hong Chan
    Department of Family Medicine & General Out-patient Clinics, Kowloon Central Cluster, Hospital Authority, Hong Kong, China.
  • Colman Siu Cheung Fung
    Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China.
  • Cindy Lo Kuen Lam
    Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, China.

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