A Study on ML Algorithms for Big Data Analytics in the field of Medical Reasoning

Abstract

Machine learning for healthcare is the future technology. Big Data Analytics is one of the recent technological developments as it assures to provide better information from the big data resources. It incorporates selecting the suitable Big Data stockpiling and determines the structure extended by MLstrategies. In this digital era, a lot of information is available on public domain, which is further gathered by machine learning to help treat and analyse patients' medical condition. There are several interesting developments whereby medical experts are good at interpreting the data that they see and the information that they get from models, and on the other side, machine learning algorithms are used. These algorithms do not require any medical expertise guidance but can very effectively extract patterns. As a result, the focus of this study is on how the combination of human experience and trained machine learning algorithm models may be used to yield various research insights in the field of healthcare. This research study focuses on and represents unique ML computations in BDAthat are useful in the field of Health Care Analytics.