Date of Publication :7th April 2015

Abstract: This Latest improvements in medical field and wide usage of electronic medical health records help in wide production of clinical data in hospitals. Most of the clinical data contains valuable information about patients. Proper usage of this information can be used for predicting different diseases. Diabetes is one of the serious disease for which the patient's personal participation is required to treat the disease. As diabetes is known to be a silent killer, an efficient controlling of the disease is essential. The aim of this research is to propose new approach using data mining techniques to identify the diabetic disease, its categories and further complications arises like heart disease, kidney disease, neuropathy, stroke, vision loss from the clinical database using KNN Algorithm and its versions, fuzzy logic ,genetic algorithm and its versions in an efficiently and an economically faster manner.

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