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

Advanced Data Analytics in eHealth (351) Web-based and Mobile Health Interventions (5858) Cost-Effectiveness and Economics (506) Decision Support for Health Professionals (2246) Artificial Intelligence in Diabetes Care and Prevention (112)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88206, first published .
Close-up of a person's finger with a drop of blood being tested for glucose levels with a glucometer.

Markov Decision Process–Based Personalized Follow-Up Planning for Type 2 Diabetes: Retrospective Cohort Study

Markov Decision Process–Based Personalized Follow-Up Planning for Type 2 Diabetes: Retrospective Cohort Study

Authors of this article:

Silei Chen1 Author Orcid Image ;   Tianyi Liu2 Author Orcid Image ;   Zhonghua Sun1 Author Orcid Image ;   Jian Jia3 Author Orcid Image ;   Dong Hang4 Author Orcid Image ;   Wenhong Zhang1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Silei Chen   1 , PhD ;   Tianyi Liu   2 , MD ;   Zhonghua Sun   1 , MD ;   Jian Jia   3 , PhD ;   Dong Hang   4 , PhD ;   Wenhong Zhang   1, 2 , PhD

1 School of Medicine, Nanjing University, Nanjing, Jiangsu, China

2 School of Business, Nanjing University, Nanjing, Jiangsu, China

3 Jiangsu Province Hospital, Nanjing, Jiangsu, China

4 Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China

Corresponding Author:

  • Wenhong Zhang, PhD
  • School of Business
  • Nanjing University
  • Meng Minwei Building, Nanjing University, 22 Hankou Road, Gulou District,Nanjing, Jiangsu Province
  • Nanjing, Jiangsu 210093
  • China
  • Phone: 86 02583621175
  • Email: whzhang@nju.edu.cn