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307 Machine learning identification of diabetic foot ulcer severity to reduce amputation risk

OBJECTIVES/GOALS: Target: Computationally identify the markers of ulcer severity and risk of amputation from datasets that include demographics data, clinical, laboratory data, and medical history over 6000 patients. METHODS/STUDY POPULATION: In this study we will use tables of demographics such as...

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Detalles Bibliográficos
Autores principales:	Flores, Mario, Paniagua, Karla, Jin, Rivera Yufang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2023
Materias:	Precision Medicine/Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129741/ http://dx.doi.org/10.1017/cts.2023.360

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