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This paper is in the following e-collection/theme issue:

Machine Learning (3274) Big Data (443) Decision Support for Health Professionals (2289) Diabetes (345) Hypertension Prevention and Treatment (352) Cardiac Risk and Cardiac Risk Calculators (181)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85557, first published .
Man with continuous glucose monitor logs data on phone and notebook

Development and Validation of a Machine Learning–Based Model for Predicting All-Cause Mortality Risk in Patients With Type 2 Diabetes Mellitus Combined With Hypertension: National Cohort Study

Development and Validation of a Machine Learning–Based Model for Predicting All-Cause Mortality Risk in Patients With Type 2 Diabetes Mellitus Combined With Hypertension: National Cohort Study

Authors of this article:

Wenlong Ding1 Author Orcid Image ;   Lei Fang2 Author Orcid Image ;   Cunming Fang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Wenlong Ding   1 , MM ;   Lei Fang   2 , MM ;   Cunming Fang   1

1 Xuancheng Hospital Affiliated to Wannan Medical College (Xuancheng People's Hospital), Xuancheng, China

2 The People's Hospital Tongling, Tongling, China

Corresponding Author:

  • Cunming Fang
  • Xuancheng Hospital Affiliated to Wannan Medical College (Xuancheng People's Hospital)
  • No. 51, Datang Road
  • Xuancheng 242000
  • China
  • Phone: 86 13705637032
  • Email: fang19920629@outlook.com