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

Digital Health Reviews (1724) Clinical Information and Decision Making (1915) Big Data (307) Decision Support for Health Professionals (1539) Clinical Informatics (1325) Machine Learning (2076) Methods and Instruments in Medical Informatics (189) Security and Privacy of mHealth and uHealth (158)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65708, first published .
Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis

Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis

Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis

Authors of this article:

Nurfaidah Tahir1, 2 Author Orcid Image ;   Chau-Ren Jung1, 3 Author Orcid Image ;   Shin-Da Lee4 Author Orcid Image ;   Nur Azizah1 Author Orcid Image ;   Wen-Chao Ho1 Author Orcid Image ;   Tsai-Chung Li1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Nurfaidah Tahir   1, 2 , MSc ;   Chau-Ren Jung   1, 3 , PhD ;   Shin-Da Lee   4 , PhD ;   Nur Azizah   1 , MD ;   Wen-Chao Ho   1 , PhD ;   Tsai-Chung Li   1 , PhD

1 Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan

2 Department of Industrial Engineering, Hasanuddin University, Makassar, Indonesia

3 Japan Environment and Children’s Study Programme Office, National Institute for Environmental Studies, Tsukuba, Japan

4 Department of Physical Therapy, Healthcare Science Program, China Medical University, Taichung, Taiwan

Corresponding Author:

  • Wen-Chao Ho, PhD
  • Department of Public Health
  • College of Public Health, China Medical University
  • No. 100, Section 1, Jingmao Road, Beitun District
  • Taichung 406040
  • Taiwan
  • Phone: 886 422053366 ext 6117
  • Email: whocmu@gmail.com