Machine Learning Models for Predicting the Risk of Hard-to-Heal Diabetic Foot Ulcers in a Chinese Population

BACKGROUND: Early detection of hard-to-heal diabetic foot ulcers (DFUs) is vital to prevent a poor prognosis. The purpose of this work was to employ clinical characteristics to create an optimal predictive model of hard-to-heal DFUs (failing to decrease by >50% at 4 weeks) based on machine learni...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shiqi, Xia, Chao, Zheng, Qirui, Wang, Aiping, Tan, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628710/
https://www.ncbi.nlm.nih.gov/pubmed/36341229
http://dx.doi.org/10.2147/DMSO.S383960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628710/
https://www.ncbi.nlm.nih.gov/pubmed/36341229
http://dx.doi.org/10.2147/DMSO.S383960

Ejemplares similares