Article

Biomedical Text Normalization through Generative Modeling

2024-10-01

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Around 80% of electronic health record (EHR) data consists of unstructured medical language text. The formatting of this text is often flexible and inconsistent, making it challenging to use for predictive modeling, clinical decision support, and data mining. Large language models’ (LLMs) ability understand context and semantic variations makes them promising tools for standard...

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Literature Corpus work: 0fc395ee-a463-5820-89cb-54c75d010795
DOI: 10.1101/2024.09.30.24314663

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