A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction

A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction

Purpose: To determine whether conventional logistic regression or machine learning algorithms were more precise in identifying the risk factors for unplanned overnight admission after medial patellofemoral ligament (MPFL) reconstruction. Methods: A retrospective review of the prospectively collected...

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Main Authors: Chimere O. Ezuma, B.S., Yining Lu, M.D., Ayoosh Pareek, M.D., Ryan Wilbur, B.S., Aaron J. Krych, M.D., Brian Forsythe, M.D., Christopher L. Camp, M.D.
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Arthroscopy, Sports Medicine, and Rehabilitation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666061X22000396

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http://www.sciencedirect.com/science/article/pii/S2666061X22000396

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