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

Systematic Review Protocols (290) Clinical Informatics (1126) New Methods (1016) Data Science (297)

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 Tweetations (3) Metrics

José Miguel Diniz   1, 2 , MSc, MD ;   Henrique Vasconcelos   1 , MSc, MD ;   Júlio Souza   1, 3 , PhD ;   Rita Rb-Silva   3 , MSc, MD, PhD ;   Carolina Ameijeiras-Rodriguez   3 , DPharm, PhD ;   Alberto Freitas   1, 3 , PhD

1 CINTESIS—Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal

2 PhD Program in Health Data Science, Faculty of Medicine, University of Porto, Porto, Portugal

3 MEDCIDS—Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal

Corresponding Author:

  • José Miguel Diniz, MSc, MD
  • PhD Program in Health Data Science
  • Faculty of Medicine
  • University of Porto
  • Rua Dr Plácido da Costa
  • 4200-450
  • Porto
  • Portugal
  • Phone: 351 225 513 622
  • Email: jmdiniz.med@gmail.com