Development and deployment of a nationwide predictive model for chronic kidney disease progression in diabetic patients.

Journal: Frontiers in nephrology
Published Date: Jan 8, 2024

Abstract

AIM: Chronic kidney disease (CKD) is a major complication of diabetes and a significant disease burden on the healthcare system. The aim of this work was to apply a predictive model to identify high-risk patients in the early stages of CKD as a means to provide early intervention to avert or delay kidney function deterioration.

Authors

  • Zhiyan Fu
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Zhiyu Wang
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Karen Clemente
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Mohit Jaisinghani
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Ken Mei Ting Poon
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Anthony Wee Teo Yeo
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Gia Lee Ang
    Integrated Health Information Systems (IHIS), Singapore, Singapore.
  • Adrian Liew
    Mount Elizabeth Novena Hospital, Singapore, Singapore.
  • Chee Kong Lim
    National Health Group Polyclinics, Singapore, Singapore.
  • Marjorie Wai Yin Foo
    Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore.
  • Wai Leng Chow
    Epidemiology and Disease Control Division, Ministry of Health, Singapore, Singapore.
  • Wee An Ta
    Integrated Health Information Systems (IHIS), Singapore, Singapore.

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