LITERATURE SURVEY ON DIABETES MELLITUS USING PREDICTIVE ANALYTICS OF BIG DATA

Abstract

Predictive analytics is the practice of extracting information’s from existing data sets in order to determine
patterns and predict future .we use predictive analytics in a variety of several methods, from predict ive
marketing and data mining to applying machine learning (ML) and artificial intelligence (AI) algorithms
to optimize business processes and uncover new statistical patterns. In this paper to give a detailed
version of Predictive analytics (PA) uses technology to search through massive amounts of information about diabetic
mellitus (DM). Its step to develop predictive model particularly in diabetes.