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Well-Tempered Medical Prompt Engineering for Explainable Extubation
Sujung Lee, Won Ik Cho, Chansung Park, Taehoon Ko
587 - 588
10.3233/SHTI240482
Research Article
Studies in Health Technology and Informatics
Volume 316: Digital Health and Informatics Innovations for Sustainable Health Care Systems
Abstract

This study investigated whether the large language model (LLM) utilizes sufficient domain knowledge to reason about critical medical events such as extubation. In detail, we tested whether the LLM accurately comprehends given tabular data and variable importance and whether it can be used in complement to existing ML models such as XGBoost.

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