Abstract
Diabetes is a global health issues that usually prolonged in a patient for an entire life. Diabetes effect people of all age groups. Development of technology is a non-conventional approach to predict diabetes and provide accurate results with better efficiency. Most of the researches have been carried out to predict the diabetes in which most of the researchers have used Pima Indian dataset. In this paper, authors build a Framework that can estimate with maximum precision, probability of diabetes in Patients. In this paper, authors build a Framework that can estimate with maximum precision, probability of diabetes in Patients. As a result, authors would like to use Machine Learning approach such as Decision Trees, SVM and Naive Bayes to detect diabetes in early phase. The Pima Indian Diabetes that are obtained from UCI library test to measure although these algorithms are used to predict diabetes in order to save time and get accurate results.
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