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This study proposes on the prediction and classification of Diabetes Mellitus using Artificial Neural Network (ANN) and hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS). The network was trained by using the data of 100 individuals with mean age of 42 years with an equal proportion of male and female. The performance of each approach is further discussed on the basis of accuracy and validates accurate...
A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level...
Medicine has always benefited from the technology. Artificial Neural Networks is currently the promising area of interest to solve medical problems. Diagnosis of diabetes is one of the most challenging problems in machine learning. This medical data set is seldom complete. Artificial neural networks require complete set of data for an accurate classification. The system explains how the pre-processing...
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