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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...
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| Publicado no: | JAMA Netw Open |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Association
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7043191/ https://ncbi.nlm.nih.gov/pubmed/32083690 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.21626 |
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