Assessing large language models for acute heart failure classification and information extraction from French clinical notes

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Adrien Bazoge, Matthieu Wargny, Pacôme Constant dit Beaufils, Emmanuel Morin, Béatrice Daille, Pierre-Antoine Gourraud, Samy Hadjadj

Published: 2025, Last Modified: 13 Oct 2025Comput. Biol. Medicine 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Explored large language model (LLM) for phenotyping acute heart failure (AHF).•Annotated clinical notes for two tasks: identify AHF and extract related information.•Pretrained language model (PLM) outperformed LLM in both tasks.•Ablation study showed that annotation quantity is the main factor influencing PLM performance.•Observed that longer annotations negatively impact PLM training and downstream performance.