SURVEY ON MINING DIABETES DATA AND ITS APPLICATIONS ON DIAGNOSING METHODS IN DISEASE MANAGEMENT USING BIG DATA

Puneeth Thotad, Dr. Geeta R. Bharamagouda, Dr. Shashikumar G Totad

Abstract


Diabetes is one of the Noncommunicable Disease (NCD), and the major health hazard in countries like India, China etc. The serious problem associated with DM is also associated with short-term symptoms like Hypoglycemia, Ketoacidosis and long-term macro and micro vascular complications including cardiovascular diseases like Heart attacks, Strokes, Kidney failure, Diabetic foot diseases leading to gangrene, amputations and Blindness. Doctors face difficulties to predict future health conditions of patients’ without relevant information. Thus need for Technology leveraging in Diabetes management is very essential. As the diabetes data collected from Health Industry or directly interacting with the patient is unstructured in nature. To analyses and prognosis it is necessary to organize the data and emphasize its size into nominal values. The effectiveness of Big Data analytics and Data Mining techniques in envisaging the risk of next occurring event in diabetic patients and taking proper precautions to overcome the risks is prophesied. The aim of this survey is to recall the progresses carried out in the area of disease management using Big Data technology.

Keywords


Diabetes is one of the Noncommunicable Disease (NCD), and the major health hazard in countries like India, China etc.

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DOI: https://doi.org/10.26483/ijarcs.v9i1.5261

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