17 / 2017-12-28 12:40:03

PREDICTIVE METHODOLOGY FOR DIABETIC DATA ANALYSIS IN BIG DATA

Big data, Hadoop,MapReduce, Decision Tree.

Diabetes mellitus is one of the major non-communicable diseases which have great impact on human life today. Due to the life style and work culture changes in the 21st century, India houses 62 million diabetes in it. By applying computational analytics on clinical big data, the massive amount of data generated in the healthcare systems, will be used to create medical intelligence which will drive medical prediction and forecasting. Developing medical intelligence out of the clinical data available will create healthcare system to be patient-centered and will reduce medical cost and hospital readmission too.Big DataAnalytics improves health care system through the reduction run time and the optimal cost.It provides the ability to make financial and clinical decision based on predictions made by system. This system uses the predictive analysis algorithm in Hadoop/Map Reduce environment to predict and classify the type of Diabetic Mellitus, Type-1 diabetes; body does not produce insulin. 10% of people with diabetes have this form of the disease.In Type-2 diabetes; body does not use insulin properly.Usually around the 24th week – many women develop gestational diabetes while the pregnancy is increasing.