医学
虚弱指数
接收机工作特性
分类器(UML)
病历
人工智能
机器学习
老年学
内科学
计算机科学
作者
Ying Qiu Zhou,Onkar Litake,Minhthy N. Meineke,Jeffrey Tully,Nicole Y. Xu,Waseem Abdou,Rodney A. Gabriel
摘要
We report the development and validation of a classifier that detects older adults at risk for preoperative frailty from preoperative anesthesia clinical notes. Large language models can be used to accurately identify a difficult-to-quantify and multifactorial characteristic such as frailty in patients by using readily available unstructured information from clinical notes.
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