Exploration of Healthcare Using Data Mining Techniques

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Author(s): Anindita Desarkar (Birla Institute of Technology Mesra – Kolkata, India)and Ajanta Das (Birla Institute of Technology Mesra – Lalpur, India)
Copyright: 2018
Pages: 17
Source title: Big Data Management and the Internet of Things for Improved Health Systems
Source Author(s)/Editor(s): Brojo Kishore Mishra (C. V. Raman College of Engineering, India)and Raghvendra Kumar (LNCT Group of Colleges, India)
DOI: 10.4018/978-1-5225-5222-2.ch014

Keywords: Computer Science & IT / Health Information Systems / Internet Technologies / Medical Information Science Reference

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Abstract

Huge amount of data is generated from Healthcare transactions where data are complex, voluminous and heterogeneous in nature. This large dataset can be used as an ideal store which can be analyzed for knowledge discovery as well as various future predictions. So, Data mining is becoming increasingly popular as it offers set of innovative tools and techniques to handle this kind of data set whereas traditional methods have limitations for that. In summary, providing the better patient care and reduction in healthcare cost are two major goals of application of data mining in healthcare. Initially, this chapter explores on the various types of eHealth data and its characteristics. Subsequently it explores various domains in healthcare sector and shows how data mining plays a major role in those domains. Finally, it describes few common data mining techniques and their applications in eHealth domain.

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Exploration of Healthcare Using Data Mining Techniques

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