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

Artificial Intelligence (4752) Cardiology (282) Electronic Health Records (1722) Design and Usability of Clinical Software and EHRs (463) Machine Learning (3165) Generative Language Models Including ChatGPT (1506)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76433, first published .
Doctor and patient review electronic health records on computer screens

Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study

Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study

Authors of this article:

Jacinto Mata1 Author Orcid Image ;   Victoria Pachón1 Author Orcid Image ;   Ana Manovel2 Author Orcid Image ;   Manuel J Maña1 Author Orcid Image ;   Manuel de la Villa1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Carter J, Anoruo N, Rehman N, Otaki Y, Lydston M, Burke H. Use of Large Language Models to Extract Heart Failure Information from Electronic Health Records: A Scoping Review. Current Epidemiology Reports 2026;13(1) View
  2. Mata J, Pachón V, Manovel A, Maña M, de la Villa M. Correction: Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study. Journal of Medical Internet Research 2026;28:e97621 View
  3. 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