Predictive Analytics and Decision Support Hea...

Predictive Analytics and Decision Support Health Care System

Author Name : J. Sukanya, K. Rajiv Gandhi, V. Palanisamy

ABSTRACT

Big data is generating a variety of information in every industry including healthcare. Most health systems can do plenty today without big data, including meeting most of their analytics and reporting needs. Currently, the majority of healthcare institutions are concentrating with complex problems such as regulatory reporting and operational dashboards. When healthcare organizations envision the future of big data, they often think of using it for analyzing text-based notes. Current analytics technologies for the most part make use of discrete data and struggle to capitalize on all of the valuable clinical information captured in physicians’ and nurses’ notes. Predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. The statistical methods are called learning models because they can grow in precision with additional cases. The main objective of this research paper is to   identify the usage of Big Data analytics in disease prediction and the use of predictive analytics in Healthcare Decision Support System (HDSS).  

Keywords: Big data, Predictive analytics, Decision Support System, Healthcare, Machine Learning