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Evaluation of T2DM Phenotyping Using Optimized Retrieval-Augmented Generation (RAG) and the Impact of Embedding Model, Context, and Prompt

2025-05-01

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Identification of patient cohorts from EHRs is challenging because ICD codes primarily serve billing and may misrepresent disease status, while key information is buried in unstructured notes. Existing computed phenotyping methods also have limitations in maintenance and incomplete modeling. We evaluated GPT-4o’s type II diabetes mellitus (T2DM) phenotyping ability using opti...

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Literature Corpus work
5412de60-5ee8-5066-a2da-24e3f832640d
DOI
10.1101/2025.04.29.25326696
Open publication

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Evaluation of T2DM Phenotyping Using Optimized Retrieval-Augmented Generation (RAG) and the Impact of Embedding Model, Context, and PromptDOI 10.1101/2025.04.29.25326696
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