Litcius/Paper detail

Logistic Regression and Machine Learning Models Cannot Discriminate Between Satisfied and Dissatisfied Total Knee Arthroplasty Patients

Joseph Munn, Brent A. Lanting, Steven J. MacDonald, Lyndsay Somerville, Jacquelyn Marsh, Dianne Bryant, Bert M. Chesworth

2021The Journal of Arthroplasty17 citationsDOI

Topics & Concepts

Brier scoreLogistic regressionReceiver operating characteristicMedicineArthroplastyProportional hazards modelRegression analysisLogistic model treeOsteoarthritisPhysical therapyMachine learningArtificial intelligenceSurgeryComputer scienceInternal medicinePathologyAlternative medicineTotal Knee Arthroplasty OutcomesOsteoarthritis Treatment and MechanismsKnee injuries and reconstruction techniques
Logistic Regression and Machine Learning Models Cannot Discriminate Between Satisfied and Dissatisfied Total Knee Arthroplasty Patients | Litcius