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Exploration of Healthcare Using Data Mining Techniques

Exploration of Healthcare Using Data Mining Techniques

Anindita Desarkar, Ajanta Das
Copyright: © 2018 |Pages: 17
ISBN13: 9781522552222|ISBN10: 1522552227|EISBN13: 9781522552239
DOI: 10.4018/978-1-5225-5222-2.ch014
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MLA

Desarkar, Anindita, and Ajanta Das. "Exploration of Healthcare Using Data Mining Techniques." Big Data Management and the Internet of Things for Improved Health Systems, edited by Brojo Kishore Mishra and Raghvendra Kumar, IGI Global, 2018, pp. 243-259. https://doi.org/10.4018/978-1-5225-5222-2.ch014

APA

Desarkar, A. & Das, A. (2018). Exploration of Healthcare Using Data Mining Techniques. In B. Mishra & R. Kumar (Eds.), Big Data Management and the Internet of Things for Improved Health Systems (pp. 243-259). IGI Global. https://doi.org/10.4018/978-1-5225-5222-2.ch014

Chicago

Desarkar, Anindita, and Ajanta Das. "Exploration of Healthcare Using Data Mining Techniques." In Big Data Management and the Internet of Things for Improved Health Systems, edited by Brojo Kishore Mishra and Raghvendra Kumar, 243-259. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5222-2.ch014

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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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