A STUDY ON DATA MINING AND STATISTICAL METHODS USED IN DIABETES MELLITUS DIAGNOSIS.
- Associate Professor, Dept. of Computer Science, PSG College of Arts & Science, CBE Tamil Nadu.
- Research Scholar, Dept. of Computer Science, PSG College of Arts & Science, CBE Tamil Nadu.
- Research Scholar, Dept. of Electronics, PSG College of Arts & Science, CBE Tamil Nadu.
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Diabetes is one of the most prevalent diseases in the world today with high mortality and morbidity rate, thus one of the biggest health problems in the world. Diagnosis of diseases is a vital role in medical field. The use of data mining on medical data brings important, valuable and effective achievement, which can enhance the medical knowledge to make necessary decision. The paper is organized as follows; it first gives a study done on diabetes and its types. Second it explains the Data Mining techniques and Statistical method used to predict Diabetes. Then the paper ends by concluding with summary of investigated methods.
[M. Mayilvaganan, R. Deepa and P. Nandakumar (2016); A STUDY ON DATA MINING AND STATISTICAL METHODS USED IN DIABETES MELLITUS DIAGNOSIS. Int. J. of Adv. Res. 4 (Jul). 447-452] (ISSN 2320-5407). www.journalijar.com