Article

Generalizable Clinical Note Section Identification with Large Language Models

2024-02-20

Abstract excerpt

<h4>Objective</h4> Clinical note section identification helps locate relevant information and could be beneficial for downstream tasks such as named entity recognition. But the traditional supervised methods suffer from transferability issues. This study proposes a new framework for using large language models for section identification to overcome the limitations. <h4>Materials and methods</h4> We framed section...

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Literature Corpus work: 4d5294f8-71d7-5dd3-82b6-86ff8cf2c341
DOI: 10.1101/2024.02.18.24303014

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