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The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty

Christian Klemt, Akachimere Uzosike, John G. Esposito, Michael Joseph Harvey, Ingwon Yeo, Murad Abdullah Subih, Young‐Min Kwon

2022Archives of Orthopaedic and Trauma Surgery30 citationsDOI

Topics & Concepts

PromMedicineArthroplastyPhysical therapyPatient-reported outcomeOrthopedic surgeryBody mass indexOsteoarthritisAlgorithmQuality of life (healthcare)Machine learningSurgeryInternal medicineComputer scienceObstetricsNursingPathologyAlternative medicineTotal Knee Arthroplasty OutcomesOrthopaedic implants and arthroplastyHip and Femur Fractures
The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty | Litcius