Article

Automating Clinical Phenotyping Using Natural Language Processing: An Application for Crohn’s Disease

2023-10-16

Abstract excerpt

Real-world studies based on electronic health records often require manual chart review to derive patients’ clinical phenotypes, a labor-intensive task with limited scalability. Here, we developed and compared computable phenotyping based on rules using the spaCy frame-work and a Large Language Model (LLM), GPT-4, for disease behavior and age at diagnosis of Crohn’s disease patients. We are the first to describe c...

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Literature Corpus work: 1f018cd3-b17d-58f2-90bf-727094c76169
DOI: 10.1101/2023.10.16.23297099

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