Application of Big Data for Medical Data Analysis Using Hadoop Environment

Abstract

Big Data (BDA) is progressively turning into a slanting practice that numerous associations are receiving with the motivation behind developing important data from Big Data. The term Big Data is likewise used to catch the openings and difficulties confronting all scientists in overseeing, examining, and incorporating datasets of differing information compose. In this paper we mention how the healthcare factor become more advance in modern world. This includes that the health care data should be properly analyzed so that we can deduce that in which group or gender, diseases attack the most. This beneficial outputs which include: getting the health care analysis in various forms. Thus this concept of analytics should be implemented with a view of future use. Beyond improving profits and cutting down on wasted overhead, Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid preventable deaths. With the world’s population increasing and everyone living longer, models of treatment delivery are rapidly changing, and many of the decisions behind those changes are being driven by data. The drive now is to understand as much about a patient as possible, as early in their life as possible hopefully picking up warning signs of serious illness at an early enough stage that treatment is far more simple (and less expensive) than if it had not been spotted until later.