Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference36 articles.
1. Trends and determinants of length of stay and hospital reimbursement following knee and hip replacement: evidence from linked primary care and NHS hospital records from 1997 to 2014;Burn;BMJ Open,2018
2. The clinical and financial Consequences of the Centers for Medicare and Medicaid Services’ two-midnight rule in total joint arthroplasty;Schwartz;J Arthroplasty,2020
3. Limited influence of comorbidities on length of stay after total hip arthroplasty: experience of enhanced recovery after surgery;Ding;Orthop Surg,2020
4. Role of sociodemographic, co-morbid and intraoperative factors in length of stay following primary total hip arthroplasty;Inneh;J Arthroplasty,2015
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1. Deep Learning: Orthopaedic Research Evolves for the Future;The Journal of Arthroplasty;2023-10
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