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

• Main Authors: Chimere O. Ezuma, B.S (Author), Yining Lu, M.D (Author), Ayoosh Pareek, M.D (Author), Ryan Wilbur, B.S (Author), Aaron J. Krych, M.D (Author), Brian Forsythe, M.D (Author), Christopher L. Camp, M.D (Author)
• Format: Book
• Published: Elsevier, 2022-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...