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Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty
Research article (Journal of Shoulder and Elbow Surgery, 2023) · cited 13× · AI/ML
Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty
Summary
Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty is a scholarly article[1].
Key Facts
Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-fairness-and-accuracy-of-machine-learningbased-predictions-of-clinical-outcomes-after-anatomic-and-revers
MLA“Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-fairness-and-accuracy-of-machine-learningbased-predictions-of-clinical-outcomes-after-anatomic-and-revers.
BibTeX@misc{4ortxyz_evaluating-the-fairness-and-accuracy-of-machine-learningbased-predictions-of-clinical-outcomes-after-anatomic-and-revers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-fairness-and-accuracy-of-machine-learningbased-predictions-of-clinical-outcomes-after-anatomic-and-revers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the fairness and accuracy of machine learning–based predictions of clinical outcomes after anatomic and reverse total shoulder arthroplasty — https://4ort.xyz/entity/evaluating-the-fairness-and-accuracy-of-machine-learningbased-predictions-of-clinical-outcomes-after-anatomic-and-revers (retrieved 2026-05-24)
