Cargando…
Classification of the severity of diabetic neuropathy: a new approach taking uncertainties into account using fuzzy logic
OBJECTIVE: This study proposes a new approach that considers uncertainty in predicting and quantifying the presence and severity of diabetic peripheral neuropathy. METHODS: A rule-based fuzzy expert system was designed by four experts in diabetic neuropathy. The model variables were used to classify...
Autores principales: | Picon, Andreja P, Ortega, Neli R S, Watari, Ricky, Sartor, Cristina, Sacco, Isabel C N |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3275123/ https://www.ncbi.nlm.nih.gov/pubmed/22358240 http://dx.doi.org/10.6061/clinics/2012(02)10 |
Ejemplares similares
-
Effect of diabetic neuropathy severity classified by a fuzzy model in muscle dynamics during gait
por: Watari, Ricky, et al.
Publicado: (2014) -
Effects of a combined strengthening, stretching and functional training program versus usual-care on gait biomechanics and foot function for diabetic neuropathy: a randomized controlled trial
por: Sartor, Cristina Dallemole, et al.
Publicado: (2012) -
A Reed-Frost model taking into account uncertainties in the diagnostic of the infection
por: de Menezes, Renée X., et al.
Publicado: (2004) -
Use of artificial intelligence methods for classifying diabetic patients with polyneuropathy
por: Gomes, Aline Arcanjo, et al.
Publicado: (2015) -
Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
por: Starczewski, Janusz T
Publicado: (2013)