A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records

A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records

Abstract Background Postoperative delirium is a challenging complication due to its adverse outcome such as long hospital stay. The aims of this study were: 1) to identify preoperative risk factors of postoperative delirium following knee arthroplasty, and 2) to develop a machine-learning prediction...

Full description

Bibliographic Details
Main Authors: Jong Wook Jung, Sunghyun Hwang, Sunho Ko, Changwung Jo, Hye Youn Park, Hyuk-Soo Han, Myung Chul Lee, Jee Eun Park, Du Hyun Ro
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Psychiatry
Subjects:
Delirium
Total knee arthroplasty
Machine learning
Prediction
Neurologic disorder
Preoperative model
Online Access:https://doi.org/10.1186/s12888-022-04067-y

Internet

https://doi.org/10.1186/s12888-022-04067-y

Similar Items