Predicting Diabetic Neuropathy Risk Level Using Artificial Neural Network and Clinical Parameters of Subjects With Diabetes

BACKGROUND: A risk assessment tool has been developed for automated estimation of level of neuropathy based on the clinical characteristics of patients. The smart tool is based on risk factors for diabetic neuropathy, which utilizes vibration perception threshold (VPT) and a set of clinical variable...

Descripción completa

Detalles Bibliográficos
Autores principales: Dubey, Venketesh N., Dave, Jugal M., Beavis, John, Coppini, David V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Special Section: Diabetic Neuropathy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847761/
https://www.ncbi.nlm.nih.gov/pubmed/33090005
http://dx.doi.org/10.1177/1932296820965583

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847761/
https://www.ncbi.nlm.nih.gov/pubmed/33090005
http://dx.doi.org/10.1177/1932296820965583

Ejemplares similares