Random forest algorithm for predicting postoperative delirium in older patients

Random forest algorithm for predicting postoperative delirium in older patients

ObjectiveIn this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occurrence in older patients.MethodsThis study was to make the secondary analysis of data from a randomized controlled trial. The Boruta function was used to...

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Bibliographic Details
Main Authors: Weixuan Sheng, Xianshi Tang, Xiaoyun Hu, Pengfei Liu, Lei Liu, Huihui Miao, Dongxin Wang, Tianzuo Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Neurology
Subjects:
postoperative delirium
random forest
confusion matrix
partial dependence graph
older patient
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1325941/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1325941/full

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