• Harshitha G P
• P prasanna

Diabetes mellitus, commonly make reference to diabetes, is a kind of metabolic issue which has influenced a huge number of individuals, in this disorder the person contain high glucose level over long period of time. It is one of the most common health conditions experienced around the globe. The number of population of diabetic patient has been increasing from 108 million in 1980 to 422 million in 2014. Diabetes may leads to kidney failure, blindness, heart attack, lower limb amputation. Therefore the diagnosis of diabetes in early stages plays a vital role. The main purpose of this project is to predict whether the patient has diabetes, if not it also predict the risk of after how many years the patient might affected by diabetes. In this project, we are diagnosing diabetes using Naive Bayes and C4.5 algorithm which is among one of the major important technique of machine learning. The data set is taken from UCI machine learning repository.

Diabetes Mellitus, Dataset, Machine Learning, Naive Bayes algorithm, C4.5 algorithm

"Diabetes mellitus disease prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.111-118, May-2019, Available :http://www.jetir.org/papers/JETIR1905M18.pdf

"Diabetes mellitus disease prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp111-118, May-2019, Available at : http://www.jetir.org/papers/JETIR1905M18.pdf