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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Detalles Bibliográficos
Autores principales: Speth, Kelly A., Yoon, Alfred P., Wang, Lu, Chung, Kevin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
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

Internet

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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