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Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty

Tony Lin‐Wei Chen, Anirudh Buddhiraju, Timothy Costales, Murad Abdullah Subih, Henry Hojoon Seo, Young‐Min Kwon

2023The Journal of Arthroplasty12 citationsDOI

Topics & Concepts

Brier scoreMedicineReceiver operating characteristicPercentileMachine learningGradient boostingArtificial intelligenceCalibrationCohortRandom forestArtificial neural networkStatisticsComputer scienceInternal medicineMathematicsTotal Knee Arthroplasty OutcomesOrthopaedic implants and arthroplastyHip and Femur Fractures
Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty | Litcius