谵妄
布里氏评分
医学
髋部骨折
机器学习
算法
随机森林
物理疗法
人工智能
重症监护医学
计算机科学
内科学
骨质疏松症
作者
Jacobien H. F. Oosterhoff,Aditya V. Karhade,Tarandeep Oberai,Esteban Franco‐Garcia,Job N. Doornberg,Joseph H. Schwab
标识
DOI:10.1177/21514593211062277
摘要
We developed a clinical prediction model that shows promise in estimating the risk of postoperative delirium in geriatric hip fracture patients. The clinical prediction model can play a beneficial role in decision-making for preventative measures for patients at risk of developing a delirium. If found to be externally valid, clinicians might use the available web-based application to help incorporate the model into clinical practice to aid decision-making and optimize preoperative prevention efforts.
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