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

Digital Health Reviews (1747) Clinical Information and Decision Making (1939) Big Data (311) Decision Support for Health Professionals (1556) Clinical Informatics (1339) Machine Learning (2102) Methods and Instruments in Medical Informatics (196) Security and Privacy of mHealth and uHealth (159)

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 (3) Tweetations Metrics

Journals

  1. Sen C, DeMazumder D. Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers. Advances in Wound Care 2025 View
  2. Shah S, Ali Z, Waqar M, Kim A. Federated Learning in Public Health: A Systematic Review of Decentralized, Equitable, and Secure Disease Prevention Approaches. Healthcare 2025;13(21):2760 View

Conference Proceedings

  1. Mashrafi M, Ahamed Alif H, Haldar U, Rahman M, Alamgir Miah M, Hasan M. 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA). Challenging Federated Learning for Drug–Gene Interaction Prediction: A Comparative Study of FedAvg and FedProx Feasibility View