A DECISION MAKING SYSTEM ON HEALTH CARE USING MACHINE LEARNING ALGORITHMS

Abstract

Today’s digital era made healthcare system and business organizations to generate different types of data every day. These volumes of data is collected and analysed, where Machine Learning Algorithms are playing a major role. The algorithms, tools and techniques for statistical analysis are used for predictive analysis. Small data, predictive modelling expansion, and real- time analytics are three forms of data analytics. The healthcare system has a potential challenges with a limited resources, technology, capability etc. The constant need from providers on healthcare for improvement, productivity with a reduced cost. To gain competitive edge, to improve quality care, to improve prospects in business, to engage patients the healthcare system is in need to provide better solutions. The strong belief among the companies is that the data analytics provide an efficient competitive edge as well as insight in decision making process. Various companies are recognizing on the quality of decision making that relies on the information which is available to support decisions and is a key to gain competitive advantage. The proposed survey paper identifies the new decision models that are developed to manage the system. The solutions proposed include small data analytics, big data analytics as well as visual analytics. The challenges that identified to compel the healthcare organizations that create healthcare solutions that can enable different organizations to access fraud detection as well as predict patient behavior using different Machine Learning Algorithms.