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Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty

Kyle N. Kunze, Aditya V. Karhade, Alex J. Sadauskas, Joseph H. Schwab, Brett R. Levine

2020The Journal of Arthroplasty86 citationsDOI

Topics & Concepts

Brier scoreMachine learningAlgorithmMedicineMinimal clinically important differenceReceiver operating characteristicContext (archaeology)Artificial intelligenceClinical prediction ruleStatisticPhysical therapyComputer scienceRandomized controlled trialStatisticsSurgeryMathematicsBiologyPaleontologyInternal medicineTotal Knee Arthroplasty OutcomesOrthopaedic implants and arthroplastyHip and Femur Fractures
Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty | Litcius