Non-invasive detection of fasting blood glucose level via electrochemical measurement of saliva

Machine learning techniques such as logistic regression (LR), support vector machine (SVM) and artificial neural network (ANN) were used to detect fasting blood glucose levels (FBGL) in a mixed population of healthy and diseased individuals in an Indian population. The occurrence of elevated FBGL wa...

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Detalles Bibliográficos
Autores principales: Malik, Sarul, Khadgawat, Rajesh, Anand, Sneh, Gupta, Shalini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899397/
https://www.ncbi.nlm.nih.gov/pubmed/27350930
http://dx.doi.org/10.1186/s40064-016-2339-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899397/
https://www.ncbi.nlm.nih.gov/pubmed/27350930
http://dx.doi.org/10.1186/s40064-016-2339-6

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