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Empirical Analysis of Various Machine Learning Techniques with Big Data for Different healthcare Applications


P. G.Jaiswal,S. G. Bhirud,Sonali Choudhary
Abstract

Automated Healthcare Assistant System is in high demand with the advances in the machine learning area. This paper presents a quick introduction to big data and its role in healthcare applications to give a deep analysis on the research field of healthcare data analytics using machine learning approach. It is noted that the use of big data architecture and techniques are continuously assisting in managing the expeditious data growth in healthcare industry. Here, initially an empirical study is performed to analyze the role of big data in healthcare industry. Nowadays, it is intricate to envision the way the machine learning and big data can influence the healthcare industries. Here this paper has listed some Machine learning techniques that havebeen used to improve healthcare performance in many areas such as: medical operations, reports, decision making, and prediction and prevention system. , as machine learning is a powerful tool for the data analytics because of its high accuracy, lower computational costs, and lower power consumption.

Volume 11 | 08-Special Issue

Pages: 3064-3070