Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty

BACKGROUND: Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic total shoulder arthroplasty but is associated with a higher rate of major postoperative complications. We aimed to design and validate a machine lear...

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Detalles Bibliográficos
Autores principales: Devana, Sai K., Shah, Akash A., Lee, Changhee, Gudapati, Varun, Jensen, Andrew R., Cheung, Edward, Solorzano, Carlos, van der Schaar, Mihaela, SooHoo, Nelson F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Scientific Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938598/
https://www.ncbi.nlm.nih.gov/pubmed/35330785
http://dx.doi.org/10.1177/24715492211038172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938598/
https://www.ncbi.nlm.nih.gov/pubmed/35330785
http://dx.doi.org/10.1177/24715492211038172

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