Article

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data

2024-03-08

Abstract excerpt

<h4>Introduction</h4> In this study, we evaluate the accuracy, efficiency, and cost-effectiveness of Large Language Models (LLMs) in extracting and structuring information from free-text clinical reports, particularly in identifying and classifying patient comorbidities within oncology electronic health records. We specifically compare the performance of gpt-3.5-turbo-1106 and gpt-4-1106-preview models against tha...

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Literature Corpus work: 3a6eb9fe-d79e-59dc-9708-055dd0bb42c2
DOI: 10.1101/2024.03.07.24303588

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