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Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?

Alex H. S. Harris, Alfred C. Kuo, Thomas Bowe, Luisa Manfredi, Narlina Lalani, Nicholas J. Giori

2020The Journal of Arthroplasty67 citationsDOI

Topics & Concepts

Brier scorePhysical therapyMedicinePatient-reported outcomeQuality of life (healthcare)Bootstrapping (finance)ArthroplastyStatisticActivities of daily livingOsteoarthritisMachine learningSurgeryComputer scienceStatisticsAlternative medicineNursingFinancial economicsPathologyMathematicsEconomicsTotal Knee Arthroplasty OutcomesArtificial Intelligence in Healthcare and EducationOsteoarthritis Treatment and Mechanisms
Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty? | Litcius