Article

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies

2024-04-19

Abstract excerpt

<h4>Background</h4> Electronic health records frequently contain extensive unstructured free-text data, but extracting information accurately from these data and at scale is challenging. Using free-text from antibiotic prescribing data as an example, we investigate the performance of modern natural language processing methods (NLP) and large language models (LLMs) as tools for extracting features from medical reco...

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Literature Corpus work: 81435225-2e52-5f17-b5f3-41b6627b89ef
DOI: 10.1101/2024.04.17.24305966

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