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

Applications of AI (229) Chronic Conditions (391) Research Methodology - AI (23) Machine Learning (1927) Mental Health Surveillance and Epidemiology (84) Methods and New Tools in Mental Health Research (530) Prevention and Health Promotion (1229)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72599, first published .
Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis

Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis

Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis

Authors of this article:

Lizhong Liang1, 2 Author Orcid Image ;   Tianci Liu3 Author Orcid Image ;   William Ollier4 Author Orcid Image ;   Yonghong Peng5 Author Orcid Image ;   Yao Lu1 Author Orcid Image ;   Chao Che3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Lizhong Liang   1, 2 * , MD ;   Tianci Liu   3 * , BS ;   William Ollier   4 , PhD ;   Yonghong Peng   5 , PhD ;   Yao Lu   1 , PhD ;   Chao Che   3 , PhD

1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2 Affiliated Hospital of Guangdong Medical College Hospital, Zhanjiang, China

3 Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Dalian, China

4 Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom

5 Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Chao Che, PhD
  • Key Laboratory of Advanced Design and Intelligent Computing
  • Dalian University
  • 10 Xuefu Street
  • Dalian 116622
  • China
  • Phone: 86 041187402046
  • Email: chechao@gmail.com