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

Ezuma, C. O., Lu, Y., Pareek, A., Wilbur, R., Krych, A. J., Forsythe, B., & Camp, C. L. (2022). A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction. Arthroscopy, Sports Medicine, and Rehabilitation, 4(3), e1103–e1110. https://doi.org/10.1016/j.asmr.2022.03.009
Authors:
Chimere O. Ezuma
Yining Lu
Ayoosh Pareek
Ryan Wilbur
Aaron J. Krych
Brian Forsythe
Christopher L. Camp
Affiliated Authors:
Chimere O. Ezuma
Publication Type:
Article
Unique ID:
10.1016/j.asmr.2022.03.009
Publication Date:
Data Source:
Scopus

Record Created: