Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

Abstract Background This study aimed to compare the performance of ten predictive models using different machine learning (ML) algorithms and compare the performance of models developed using patient-specific vs. situational variables in predicting select outcomes after primary TKA. Methods Data fro...

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Bibliographic Details
Main Authors: Abdul K. Zalikha, Tannor Court, Fong Nham, Mouhanad M. El-Othmani, Roshan P. Shah
Format: Article
Language:English
Published: BMC 2023-07-01
Series:Arthroplasty
Subjects:
Machine learning
Total knee arthroplasty
Artificial intelligence
Postoperative outcomes
Length of stay
Online Access:https://doi.org/10.1186/s42836-023-00187-2

Internet

https://doi.org/10.1186/s42836-023-00187-2

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