2017 IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2017)

279 / 2017-01-31 17:21:01

Prediction and Severity Estimation of Diabetes Using Data Mining Technique

Data mining, Diabetes, Body Mass Index, HbA1c, PMBG, FBG

Data mining plays an efficient role in prediction of diseases in health care industry. Diabetes is one of the major global health problems. According to WHO 2014 report, around 422 million people worldwide are suffering from diabetes. Diabetes is a metabolic disease where the improper management of blood glucose levels led to risk of generating abnormalities in functioning of critical organs like heart attack, kidney, eye diseases etc. Many algorithms are developed for prediction of diabetes and accuracy estimation but there is no such algorithm which will provide severity in terms of ratio interpreted as impact of diabetes on different organs of human body. The Proposed System calculates quantification of severity on different body parts like heart, kidney, eye diseases etc.