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

Viewpoints and Perspectives (608) Electronic Health Records (1400) Advanced Data Analytics in eHealth (241) Machine Learning (2274) Immunology, Allergy, Rheumatology (157) Artificial Intelligence (2416) Chronic Conditions (493)

Published on in Vol 28 (2026)

This is a member publication of Leiden University Medical Center

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86763, first published .
Rheumatic Digital Twin: Proposed Machine Learning–Based Multimodal Framework to Inform Clinical Decision-Making

Rheumatic Digital Twin: Proposed Machine Learning–Based Multimodal Framework to Inform Clinical Decision-Making

Rheumatic Digital Twin: Proposed Machine Learning–Based Multimodal Framework to Inform Clinical Decision-Making

Authors of this article:

Daniyal Selani1, 2 Author Orcid Image ;   Rachel Knevel2 Author Orcid Image ;   Marcel Reinders1, 3 Author Orcid Image ;   Erik B van den Akker1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Daniyal Selani   1, 2 * , MSc ;   Rachel Knevel   2 * , MD, PhD ;   Marcel Reinders   1, 3 , PhD ;   Erik B van den Akker   1, 3 , PhD

1 Pattern Recognition and Bioinformatics, Faculty Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands

2 Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands

3 Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands

*these authors contributed equally

Corresponding Author:

  • Erik B van den Akker, PhD
  • Department of Biomedical Data Sciences
  • Leiden University Medical Center
  • Einthovenweg 20
  • Leiden 2333 ZC
  • The Netherlands
  • Phone: 31 1 526 30 13
  • Email: e.b.van_den_akker@lumc.nl