PREDICTIVE ANALYSIS USING BIG DATA IN HEALTHCARE SECTOR
| Author(s) | : | B.Lalithadevi, Anirudh Bansal, Sayon Bhattacharyya, Param Saluja |
| Institution | : | SRM IST Chennai Tamil Nadu |
| Published In | : | Vol. 5, Issue 10 — October 2018 |
| Page No. | : | 101-105 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Health care analysis is a term used to describe the activity of analysing healthcare data from a variety of sources.These data contain information about cost, claim, pharmaceutical, clinical and patient behaviour. Electronic MedicalRecords contains appropriate data to perform analysis and highlight on different aspect of the data .The health care industryis a growing industry in the world .The healthcare data is growing with the advancement of time. So, we need to utilize thesedata in the most effective way. Hugh volumes of healthcare data remains under utilized and wasted .A definite procedure mustbe followed to capture , store and analyse the data set .We can achieve this idea only if we design an architecture whichallows the storage of large data set and perform analysis on them . Hadoop is the best architecture to work on when largedata sets are involved .Apache Hadoop is an open source ecosystem for handling large volumes of data using distributedprocessing.
B.Lalithadevi, Anirudh Bansal, Sayon Bhattacharyya, Param Saluja, “PREDICTIVE ANALYSIS USING BIG DATA IN HEALTHCARE SECTOR”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 10, pp. 101-105, October 2018.
