Analysis of a Machine Learning–Based Risk Stratification Scheme for Chronic Limb-Threatening Ischemia

IMPORTANCE: Valid risk stratification schemes are key to performing comparative effectiveness research; however, for chronic limb-threatening ischemia (CLTI), risk stratification schemes have limited efficacy. Improved, accurate, comprehensive, and reproducible risk stratification models for CLTI ar...

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Detalles Bibliográficos
Autores principales: Chung, Jayer, Freeman, Nikki L. B., Kosorok, Michael R., Marston, William A., Conte, Michael S., McGinigle, Katharine L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941356/
https://www.ncbi.nlm.nih.gov/pubmed/35315918
http://dx.doi.org/10.1001/jamanetworkopen.2022.3424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941356/
https://www.ncbi.nlm.nih.gov/pubmed/35315918
http://dx.doi.org/10.1001/jamanetworkopen.2022.3424

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