Internal Validation of a Predictive Model for Complications After Total Hip Arthroplasty
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference44 articles.
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5. Total joint arthroplasties: current concepts of patient outcomes after surgery;Jones;Rheum Dis Clin North Am,2007
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1. Applying machine learning methods to predict the hospital re-admission within 30 days of total hip arthroplasty and hemiarthroplasty;Journal of Healthcare Quality Research;2022-12
2. Development and internal validation of machine learning algorithms for predicting complications after primary total hip arthroplasty;Archives of Orthopaedic and Trauma Surgery;2022-05-04
3. Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty;The Journal of Arthroplasty;2020-08
4. Defining Failure After Cartilage Preservation Surgery: Are We Expecting Too Much?;Operative Techniques in Sports Medicine;2020-03
5. Internal Validation of a Predictive Model for Satisfaction After Primary Total Knee Arthroplasty;The Journal of Arthroplasty;2019-04
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