Biomedical text normalization through generative modeling

We find that retrieval-focused approaches overcome traditional LLM limitations for this task. RAGnorm and related retrieval techniques should be explored further for the normalization of biomedical free text.

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Publication Details

Journal
Journal of Biomedical Informatics
Published
2025-05-15
DOI
https://doi.org/10.1016/j.jbi.2025.104850
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
4.96

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article

Biomedical text normalization through generative modeling

Yasaman Fatapour, Apoorva Srinivasan, Nicholas P. Tatonetti, Jose Miguel Acitores Cortina et al.
2 citations
Journal of Biomedical Informatics
Topic Modeling
4.96
article

Biomedical text normalization through generative modeling

Yasaman Fatapour, Apoorva Srinivasan, Nicholas P. Tatonetti, Jose Miguel Acitores Cortina, Jacob Berkowitz
article en
2 citations

Abstract

We find that retrieval-focused approaches overcome traditional LLM limitations for this task. RAGnorm and related retrieval techniques should be explored further for the normalization of biomedical free text.

Journal of Biomedical InformaticsVol. 167
Cedars-Sinai Medical Center (US)
National Institute of General Medical Sciences
Quality Education
Openalex Percentile: Top 5%
Topic Modeling
4.96
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