Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

1An Introduction to Big Data Analytics Techniques in Healthcare

Anil Audumbar Pise*

University of the Witwatersrand, Johannesburg, South Africa

Abstract

There is a notable rise in the amount of data being generated in the healthcare industries. Trying to improve the health outcomes and cut the costs derived from better utilization of healthcare data has been of great interest to healthcare providers (and the abundance of the data has brought that about big change), whereas the nature of healthcare data presents specific problems when it comes to processing and looking at big data, particularly, as well as analyzing the abundance of it. Some new ideas about how to deal with these problems are discussed in this chapter. According to this chapter, there are two ways in which advances in processing healthcare data have been made in the last 10 years that may make generating better predictions from the medical data feasible. Firstly by using advancing technological methods of analysis and secondly developing novel models that can handle large quantities of data.

Keywords: Healthcare analytics, predictive analytics, healthcare informatics, big data

1.1 Introduction

Big Data has the potential to transform all sorts of business sectors, from the wellness of individuals to the provision of healthcare. For the purposes of most current day, Big Data is defined as “storing, arranging, and processing, the current huge amounts of heterogeneous data, getting results, and then reorganized ...