Using Machine Learning to Predict Nonachievement of Clinically Significant Outcomes After Rotator Cuff Repair

BACKGROUND: Although some evidence suggests that machine learning algorithms may outperform classical statistical methods in prognosis prediction for several orthopaedic surgeries, to our knowledge, no study has yet used machine learning to predict patient-reported outcome measures after rotator cuf...

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Detalles Bibliográficos
Autores principales: Alaiti, Rafael Krasic, Vallio, Caio Sain, Assunção, Jorge Henrique, de Andrade e Silva, Fernando Brandão, Gracitelli, Mauro Emilio Conforto, Neto, Arnaldo Amado Ferreira, Malavolta, Eduardo Angeli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588422/
https://www.ncbi.nlm.nih.gov/pubmed/37868215
http://dx.doi.org/10.1177/23259671231206180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588422/
https://www.ncbi.nlm.nih.gov/pubmed/37868215
http://dx.doi.org/10.1177/23259671231206180

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