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A Portable and Low Cost System to Blood Glucose, Cholesterol and Urea Identification
2012
International Journal of Computing and Digital Systems
Over the last century there has been a considerable increase in human longevity and this made a large number of people to reach a critical age for development of several diseases. As a result of this increase in life expectancy health issues related, some examples are hypercholesterolemia, hyperglycemia and increased levels of blood urea. This paper presents a portable and low cost system using Artificial Neural Networks to blood metabolites identification. The system developed is based in
doi:10.12785/ijcds/010101
fatcat:kuj6tcbbl5dz5mmacr36q4meru