Evolution of Data Analytics in Healthcare

Abstract

In recent years, a huge volume of data has been generated by the sensors, social media, and other sources. Researchers proposed various data analytics models for handling these data and to extract insight that can improve the business of various domains. Data analytics in healthcare (DAiHC) is recent and attracted many researchers due to its importance in improving the value of people's lives. In this perspective, the chapter focuses on the various recent models proposed in DAiHC and dissects the works based on various vital parameters. As an initial part, the work provides comprehensive information on DAiHC and its various application illustrations. Moreover, the study presented in the work categorizes the literature on DAiHC based on factors like algorithms used, application dataset utilized, insight type, and tools used for evaluation of the work. This survey will be helpful for novice to expert researchers who works in DAiHC, and various challenges in DAiHC are also discussed which may help in defining new problems associated with the domain.