Supervised Machine Learning for Predicting Length of Stay After Lumbar Arthrodesis: A Comprehensive Artificial Intelligence Approach.

Introduction: Few studies have evaluated the utility of machine learning techniques to predict and classify outcomes, such as length of stay (LOS), for lumbar fusion patients. Six supervised machine learning algorithms may be able to predict and classify whether a patient will experience a short or...

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Bibliographic Details

Published in:	Journal of the American Academy of Orthopaedic Surgeons Vol. 30; no. 3; pp. 125 - 133
Main Authors:	Etzel, Christine M, Veeramani, Ashwin, Zhang, Andrew S, McDonald, Christopher L, DiSilvestro, Kevin J, Cohen, Eric M, Daniels, Alan H
Format:	research Journal Article
Published:	Lippincott Williams & Wilkins Feb2022
Online Access:	View this record in EBSCOhost