Advancing predictive accuracy for shoulder replacement surgery

Author:

Kholinne Erica,Kwak Jae-Man

Publisher

Elsevier BV

Reference5 articles.

1. Risk of serious adverse events after primary shoulder replacement: development and external validation of a prediction model using linked national data from England and Denmark;Lancet Rheumatol,2024

2. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods;Collins;BMJ,2024

3. Comparison of machine learning techniques to predict unplanned readmission following total shoulder arthroplasty;Arvind;J shoulder and elbow surg,2021

4. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models;Christodoulou;J clin epidemiol,2019

5. Assessing appropriateness for shoulder arthroplasty using a shared decision-making process;Razmjou;J Shoulder Elb Arthroplast,2023

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