Knowledge Discovery and Data Mining Applications in the Healthcare Industry: A Comprehensive Study

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Author(s): Iman Barazandeh (Iran University of Science and Technology, Iran & Islamic Azad University, Mahshahr Branch, Iran)and Mohammad Reza Gholamian (Iran University of Science and Technology, Iran)
Copyright: 2016
Pages: 22
Source title: E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8756-1.ch055

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

The healthcare industry is one of the most attractive domains to realize the actionable knowledge discovery objectives. This chapter studies recent researches on knowledge discovery and data mining applications in the healthcare industry and proposes a new classification of these applications. Studies show that knowledge discovery and data mining applications in the healthcare industry can be classified to three major classes, namely patient view, market view, and system view. Patient view includes papers that performed pure data mining on healthcare industry data. Market view includes papers that saw the patients as customers. System view includes papers that developed a decision support system. The goal of this classification is identifying research opportunities and gaps for researchers interested in this context.

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Knowledge Discovery and Data Mining Applications in the Healthcare Industry: A Comprehensive Study

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