Article

Leveraging GPT-4 for Identifying Cancer Phenotypes in Electronic Health Records: A Performance Comparison between GPT-4, GPT-3.5-turbo, Flan-T5 and spaCy’s Rule-based & Machine Learning-based methods

2023-09-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Accurately identifying clinical phenotypes from Electronic Health Records (EHRs) provides additional insights into patients’ health, especially when such information is unavailable in structured data. This study evaluates the application of OpenAI’s Generative Pre-trained Transformer (GPT)-4 model to identify clinical phenotypes from EHR text in non-small cell lung cancer (NS...

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Literature Corpus work: 2db8c619-41f6-5618-a14b-ad74eaea449f
DOI: 10.1101/2023.09.27.559788

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