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Assessment of Tree-Based Statistical Learning to Estimate Optimal Personalized Treatment Decision Rules for Traumatic Finger Amputations
IMPORTANCE: Optimal treatment for traumatic finger amputation is unknown to date. OBJECTIVE: To use statistical learning methods to estimate evidence-based treatment assignment rules to enhance long-term functional and patient-reported outcomes in patients after traumatic amputation of fingers dista...
Autores principales: | Speth, Kelly A., Yoon, Alfred P., Wang, Lu, Chung, Kevin C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043191/ https://www.ncbi.nlm.nih.gov/pubmed/32083690 http://dx.doi.org/10.1001/jamanetworkopen.2019.21626 |
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