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

Reviews in Medical Informatics (104) Computer-Aided Diagnosis (215) Decision Support for Health Professionals (1449) Electronic Health Records (1257) Machine Learning (1934)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62862, first published .
Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Authors of this article:

Liesbeth Hunik1 Author Orcid Image ;   Asma Chaabouni1 Author Orcid Image ;   Twan van Laarhoven2 Author Orcid Image ;   Tim C Olde Hartman1 Author Orcid Image ;   Ralph T H Leijenaar3 Author Orcid Image ;   Jochen W L Cals3 Author Orcid Image ;   Annemarie A Uijen1 Author Orcid Image ;   Henk J Schers1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Liesbeth Hunik   1 , MSc, MD ;   Asma Chaabouni   1 , MSc, MD ;   Twan van Laarhoven   2 , PhD ;   Tim C Olde Hartman   1 , PhD, MD ;   Ralph T H Leijenaar   3 , PhD ;   Jochen W L Cals   3 , Prof Dr ;   Annemarie A Uijen   1 , PhD, MD ;   Henk J Schers   1 , Prof Dr

1 Department of Primary and Community Care, Research Institute for Medical Innovation, Radboudumc, Nijmegen, The Netherlands

2 Institute for Computing and Information Science, Radboud University, Nijmegen, The Netherlands

3 Department of Family Medicine, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands

Corresponding Author:

  • Liesbeth Hunik, MSc, MD
  • Department of Primary and Community Care
  • Research Institute for Medical Innovation, Radboudumc
  • Geert Grooteplein Zuid 21
  • Nijmegen 6525 GA
  • The Netherlands
  • Phone: 31 243618181
  • Email: liesbeth.hunik@radboudumc.nl