Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model

Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model

Abstract Background Unplanned readmission, a measure of surgical quality, occurs after 4.8% of primary total knee arthroplasties (TKA). Although the prediction of individualized readmission risk may inform appropriate preoperative interventions, current predictive models, such as the American Colleg...

Full description

Saved in:
Bibliographic Details
Main Authors: Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Knee Surgery & Related Research
Subjects:
Readmissions
Total knee arthroplasty
Risk assessments
Deep learning
Clinical decision support
Online Access:https://doi.org/10.1186/s43019-024-00256-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s43019-024-00256-z

Similar Items