What Is the Accuracy of Three Different Machine Learning Techniques to Predict Clinical Outcomes After Shoulder Arthroplasty?

BACKGROUND: Machine learning techniques can identify complex relationships in large healthcare datasets and build prediction models that better inform physicians in ways that can assist in patient treatment decision-making. In the domain of shoulder arthroplasty, machine learning appears to have the...

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Bibliographische Detailangaben
Veröffentlicht in:Clin Orthop Relat Res
Hauptverfasser: Kumar, Vikas, Roche, Christopher, Overman, Steven, Simovitch, Ryan, Flurin, Pierre-Henri, Wright, Thomas, Zuckerman, Joseph, Routman, Howard, Teredesai, Ankur
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wolters Kluwer 2020
Schlagworte:
Clinical Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7491877/
https://ncbi.nlm.nih.gov/pubmed/32332242
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CORR.0000000000001263
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