A Survey on Prediction Using Big Data Analytics

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Author(s): M. Supriya (Anna University, India)and A.J. Deepa (Ponjesly College of Engineering, India)
Copyright: 2019
Pages: 13
Source title: Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-6198-9.ch019

Keywords: Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

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Abstract

This article describes how nowadays, the growth of big data in bio-medical and healthcare community services is increasing rapidly. The early detection of diseases and patient care are analyzed with the help of accurate analysis of medical data includes diagnosed patients' details. The analysis of accuracy rate is considerably reduced when the quality of medical data is unclear since every part of the body has unique characteristics of certain regional diseases that may suppress the prediction of diseases. This article reviews the detailed survey of different prediction methods developed for analyzing the accuracy rate of disease affected patients in 2015-2016 mainly focuses on choosing the efficient predictions based on the quality of medical data not only provides the overall view of prediction methods but also gives the idea of big data analytics in medical data further discusses the methods, techniques used and the pros and cons of prediction methods.

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A Survey on Prediction Using Big Data Analytics

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