Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning.
Journal:
BMC medical informatics and decision making
Published Date:
Jan 8, 2019
Abstract
BACKGROUND: 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.