Article
Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks
2024-12-05
Abstract excerpt
<h4>ABSTRACT</h4> <h4>Objectives</h4> To determine the extent to which current Large Language Models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors that can impact their adoption, including overall performance, calibration, fairness, and resilience to privacy protections that reduce data...
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Identifiers and source
- Literature Corpus work
- f3edb16d-06e7-52ba-a21d-0cfb93f39e0d
- DOI
- 10.1101/2024.12.03.24318400
