Using machine learning methods to predict prolonged operative time in elective total shoulder arthroplasty.
Machine learning (ML) is a form of artificial intelligence in which computer algorithms improve automatically with experience. Recently, ML has been utilized to predict operative characteristics and patient outcomes for orthopedic procedures, thereby allowing for better patient selection and preoper...
| Publicado en: | Seminars in Arthroplasty: JSES Vol. 32; no. 3; pp. 452 - 462 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |