DESIGNING A CLOUD BASED FRAMEWORK FOR ENHANCING THE PERFORMANCE OF DIABETIC CLASSIFICATION USING NAÏVE BAYES CLASSIFIER

SEETHA J, T. Chakravarthy

Abstract


Diabetes Mellitus is one of the most important serious challenges in both developed and developing countries. It leads to significant medical complications including ischemic heart disease, stroke, nephropathy, retinopathy, neuropathy and peripheral vascular disease. Early identification of patients at risk of developing diabetes is a major healthcare need. Thus cloud based healthcare is the one and only solution. In this paper, we utilize cloud computing for the creation and organization of cloud based health care services and also we use classification technique. The diagnosis of diabetes is used to classifies the individual users as “Diabetic” or “Non-Diabetic” through Naïve Bayes Classifier.

Keywords


diabetes, cloud computing, Naïve Bayes Classifier.

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DOI: https://doi.org/10.26483/ijarcs.v8i9.5204

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