Application Of Machine Learning Techniques, Big Data Analytics In Health Care Sector – A Literature Survey

Abstract

The triumphant utilization of data mining in extremely evident areas like trade, commerce, and e-business has directed to its application in another industry. The medical conditions are still knowledge rich but information low. There is an abundance of information feasible inside the medical practices. Still, there is a shortage of essential investigation mechanisms to recognize hidden trends and relationships in data. Many researchers have applied Data Mining methods for the prognosis and diagnosis of several diseases. Machine Learning methods have broadly utilized in the prognostication of different diseases at the beginning stages. The current decade has observed an abnormal development in the variety and volume of electronic data associated with the development and research, patient self-tracking, and health records together suggested to as Big Data. This paper presents a comprehensive literature survey on the importance of Feature Selection methods, Supervised Machine Learning methods, Unsupervised Machine Learning methods and big data for the healthcare industry.