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Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty
Authors:Evan M. Polce  Kyle N. Kunze  Michael C. Fu  Grant E. Garrigues  Brian Forsythe  Gregory P. Nicholson  Brian J. Cole  Nikhil N. Verma
Affiliation:Division of Sports Medicine & Shoulder, Department of Orthopedics, Midwest Orthopedics at Rush, Rush University, Chicago, IL, USA
Abstract:
Keywords:Total shoulder arthroplasty  satisfaction  classification  feature selection  cross-validation  supervised machine learning (SML)  support vector machine (SVM)
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