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

Systematic Review Protocols (355) Clinical Informatics (1418) New Methods (1170) Data Science (382)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45823, first published .
Comparing Decentralized Learning Methods for Health Data Models to Nondecentralized Alternatives: Protocol for a Systematic Review

Comparing Decentralized Learning Methods for Health Data Models to Nondecentralized Alternatives: Protocol for a Systematic Review

Comparing Decentralized Learning Methods for Health Data Models to Nondecentralized Alternatives: Protocol for a Systematic Review

Authors of this article:

José Miguel Diniz1, 2 Author Orcid Image ;   Henrique Vasconcelos1 Author Orcid Image ;   Júlio Souza1, 3 Author Orcid Image ;   Rita Rb-Silva3 Author Orcid Image ;   Carolina Ameijeiras-Rodriguez3 Author Orcid Image ;   Alberto Freitas1, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Tahir N, Jung C, Lee S, Azizah N, Ho W, Li T. Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e65708 View
  2. Diniz J, Vasconcelos H, Rb-Silva R, Ameijeiras-Rodriguez C, Rodrigues D, Ramos P, Tomás A, Gao Y, Souza J, Freitas A. Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review. npj Digital Medicine 2026;9(1) View