• Dr.Parashuram Baraki
• Mr.Jakkappa Godi
• Mr. Nilesh Patil
• Ms.Bhagyashri Bisure
• Mr.vinay H Barige

Nowadays, diabetes has become a common disease to the mankind from young to the old persons. The growth of the diabetic patients is increasing day-by-day due to various causes such as bacterial or viral infection, toxic or chemical contents mix with the food, auto immune reaction, obesity, bad diet, change in lifestyles, eating habit, environment pollution, etc. The data analytics is a process of examining and identifying the hidden patterns from large amount of data to draw conclusions. In health care, this analytical process is carried out using machine learning algorithms for analyzing medical data to build the machine learning models to carry out medical diagnoses. This paper presents a diabetes prediction system to diagnosis diabetes. Moreover, this paper explores the approaches to improve the accuracy in diabetes prediction.

Diabetes, Prediction, Naive Bayes algorithm, K Nearest neighbor algorithm, Decision tree, Knowledge Discovery

"Intelligent Diabetes Disease Prediction Using Data Mining An Innovative approach towards health Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.948-952, June-2019, Available :http://www.jetir.org/papers/JETIR1906430.pdf

"Intelligent Diabetes Disease Prediction Using Data Mining An Innovative approach towards health Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp948-952, June-2019, Available at : http://www.jetir.org/papers/JETIR1906430.pdf