Big Data Analytics System for Health Care: A Literature Review

Abstract

Health is generating enormous volumes of data that can provide vital understandings into medical and real features of healthcare delivery. There is a general dearth of specific and combined health data analytics platforms that offer technical approaches to support the entire health data analysis channel. For example, health data selection, integration, inspection, visualization, and distribution. This paper reviews the numerous practical architectures of a health data analytics platform that offers a technical solution for analyzing big' health data originating from several sources with varied terminologies and plans. The present study which stresses the use of the enormous size of health information while merging multidimensional material from varied sources is discussed. Finally, a Research Gap is found in all studied technical architecture and probable solutions proposed.