Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture Surgeries: A Retrospective Case-Control Study

Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture Surgeries: A Retrospective Case-Control Study

Background: Elderly patients undergoing hip fracture repair surgery are at increased risk of delirium due to aging, comorbidities, and frailty. But current methods for identifying the high risk of delirium among hospitalized patients have moderate accuracy and require extra questionnaires. Artificia...

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Bibliographic Details
Main Authors: Hong Zhao, Jiaming You, Yuexing Peng, Yi Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Surgery
Subjects:
delirium
hip fracture
elderly
machine learning
surgery
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2021.634629/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2021.634629/full

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