Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning

Volume: 19, Issue: 1
Published: Jan 8, 2019
Abstract
Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient-reported outcomes (PROs) by eight supervised classifiers including a linear model, following hip and knee replacement surgery. NHS PRO data (130,945 observations) from April 2015 to April 2017 were used to...
Paper Details
Title
Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning
Published Date
Jan 8, 2019
Volume
19
Issue
1
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