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

Machine Learning (3165) Clinical Informatics (2257) Clinical Information and Decision Making (3693) Electronic Health Records (1721)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78117, first published .
Surgeon in scrubs uses a touch screen displaying medical data, including brain scans and heartbeats.

Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation

Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation

Authors of this article:

Yu-Wei Chen1, 2, 3 Author Orcid Image ;   Sheng-Feng Sung4, 5 Author Orcid Image ;   Ya-Han Hu6, 7 Author Orcid Image ;   Yu-Hsuan Yang6 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Osoro L, Arbelo E, Lane D, Mei D, Kozhuharov N, Zylla M, Collins B, Vardas P, Boriani G, Figueras J, Merino J, Pürerfellner H, Burri H, Casado-Arroyo R. From Algorithm Development to Clinical Implementation: A Systematic Review of Artificial Intelligence in Cardiovascular Medicine. Technologies 2026;14(8):511 View