LITERATURE SURVEY ON DIABETES MELLITUS USING PREDICTIVE ANALYTICS OF BIG DATA
| Author(s) | : | S.R.Surya |
| Institution | : | Msc.,MCA.,M.Phil., Assistant Professor, Faculty of science and Humanities SRM Institute of Science and Technology |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 579-581 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Predictive analytics is the practice of extracting information’s from existing data sets in order to determinepatterns and predict future .we use predictive analytics in a variety of several methods, from predict ivemarketing and data mining to applying machine learning (ML) and artificial intelligence (AI) algorithmsto optimize business processes and uncover new statistical patterns. In this paper to give a detailedversion of Predictive analytics (PA) uses technology to search through massive amounts of information about diabeticmellitus (DM). Its step to develop predictive model particularly in diabetes.
S.R.Surya, “LITERATURE SURVEY ON DIABETES MELLITUS USING PREDICTIVE ANALYTICS OF BIG DATA”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 579-581, February 2018.
