Poster 387: Application of Survival Machine Learning Methodology to Predict Time-Dependent Risk of Revision ACLR Graft Failure in the MARS Cohort
Objectives: Previous machine learning (ML) analysis has shown that a novel ML model built using the Multicenter Anterior Cruciate Ligament (ACL) Revision Study (MARS) cohort data can predict graft failure at 6 years postoperatively as a binary outcome with moderate ability. However, binary classific...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SAGE Publishing
2024-07-01
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| Серія: | Orthopaedic Journal of Sports Medicine |
| Онлайн доступ: | https://doi.org/10.1177/2325967124S00352 |
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