AN ANALYSIS OF BIG DATA ANALYTIC TECHNIQUES TO SUPPORT HEATH CARE DATA RETRIEVAL

Abstract

Health care institutions generated large volume health care data which are collected from the 
numerous patients. These health care data consists of various hidden and useful information 
about the different types of diseases which needs to be extracted accurately for the patient 
treatment. However analysis big health care data becomes more difficult task due to its 
excess volume and variety of data. There is various research methodologies has been 
proposed earlier to analyse and extract the useful information from the health care big data. In 
this analysis work, discussion about the different research methods has been given whose 
main goal is to extract the useful information from the health care big data. This analysis 
work provides the overview of various big data analytics methods which are applied on 
health care information to extract the useful information. This work provides the detailed 
description about the working procedure of different research methodologies and also 
denoted the merits and demerits of various research methods. The comparison evaluation of 
the different research techniques has been performed based on merits and demerits from 
which it is concluded the best research method as for now that can ensure the reliable and 
accurate analysis on health care big data.