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

Secondary Use of Clinical Data for Research and Surveillance (483) Neurology and Neurosciences (293) Electronic Health Records (1345) Machine Learning (2161)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79869, first published .
Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods

Authors of this article:

Ohoud Almadani1 Author Orcid Image ;   Yasser Albogami2 Author Orcid Image ;   Adel Alrwisan1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ohoud Almadani   1 * , MSHI ;   Yasser Albogami   2 * , PhD ;   Adel Alrwisan   1 * , PhD

1 Saudi Food and Drug Authority, Riyadh, Saudi Arabia

2 Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia

*all authors contributed equally

Corresponding Author:

  • Ohoud Almadani, MSHI
  • Saudi Food and Drug Authority
  • 4904 northern ring branch rd, 13513, Hittin Dist, Unit number : 1
  • Riyadh 13513
  • Saudi Arabia
  • Phone: 966 555300732
  • Email: oal-madani@hotmail.com