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

Development and Evaluation of Research Methods, Instruments and Tools (1241) Clinical Informatics (2122) Clinical Information and Decision Making (3512) Information Retrieval (484) Data Science (677) Generative Language Models Including ChatGPT (1399)

Published on in Vol 10 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84932, first published .
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Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis

Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis

Authors of this article:

Shiran Zhang1 Author Orcid Image ;   Evelyn Phan2 Author Orcid Image ;   Pedro Velmovitsky3, 4 Author Orcid Image ;   Quynh Pham3, 4, 5, 6 Author Orcid Image ;   Scott Sanner7 Author Orcid Image
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Journals

  1. Gencer K. RAG-Augmented Explainable Early Warning System for Acute Kidney Injury in the ICU: A KDIGO-Aligned XGBoost Pipeline With SHAP-Driven Evidence Retrieval on MIMIC-IV. IEEE Access 2026;14:93893 View