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The Journal of Arthroplasty|June 14, 2023
Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip ArthroplastyTony Lin-Wei Chen, Anirudh Buddhiraju, Timothy G Costales, et al.
Medical & Biological Engineering & Computing|December 9, 2024
Predicting 30-day reoperation following primary total knee arthroplasty: machine learning model outperforms the ACS risk calculatorTony Lin-Wei Chen, Anirudh Buddhiraju, Blake M Bacevich, et al.
Medical & Biological Engineering & Computing|April 1, 2024
Generalizability of machine learning models predicting 30-day unplanned readmission after primary total knee arthroplasty using a nationally representative databaseAnirudh Buddhiraju, Michelle Riyo Shimizu, Henry Hojoon Seo, et al.
Knee Surgery & Related Research|January 13, 2025
Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network modelAnirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, et al.
The Journal of Arthroplasty|October 21, 2024
Racial and Ethnic Disparities in Predictive Accuracy of Machine Learning Algorithms Developed Using a National Database for 30-Day Complications Following Total Joint ArthroplastyChristian A Pean, Anirudh Buddhiraju, Tony Lin-Wei Chen, et al.
Medical & Biological Engineering & Computing|March 7, 2024
Predicting 30-day unplanned hospital readmission after revision total knee arthroplasty: machine learning model analysis of a national patient cohortTony Lin-Wei Chen, Michelle Riyo Shimizu, Anirudh Buddhiraju, et al.
International Journal of Medical Informatics|September 21, 2024
Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning modelsAshish Mittal, Anirudh Buddhiraju, Murad Abdullah Subih, et al.
Arthritis & Rheumatology (Hoboken, N.J.)|May 11, 2021
Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical OutcomesGary H Chang, Lisa K Park, Nina A Le, et al.
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