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Action Rules Mining in Hoarseness Disease

Action Rules Mining in Hoarseness Disease
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Author(s): Agnieszka Dardzinska (Bialystok University of Technology, Poland)
Copyright: 2017
Pages: 6
Source title: Pattern and Data Analysis in Healthcare Settings
Source Author(s)/Editor(s): Vivek Tiwari (Maulana Azad National Institute of Technology, India), Basant Tiwari (Devi Ahilya University, India), Ramjeevan Singh Thakur (Maulana Azad National Institute of Technology, India)and Shailendra Gupta (AISECT University, India)
DOI: 10.4018/978-1-5225-0536-5.ch001

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Abstract

Action rule is an implication rule that shows the expected change in a decision value of an object as a result of changes made to some of its conditional values. An example of an action rule is ‘patients are expected to control their health regularly if they receive an information about free medical tests once a year'. In this case, the decision value is the health status, and the condition value is whether the information is sent to the patient. Because of some complex medical problems this paper discusses a strategy which generates action rules to using new knowledge base consisting of classification rules. As one of the testing domains for our research, we take new system for gathering and processing clinical data on patients with throat disorders, and mining action rules will suggest in simply way how to construct the decision support module for easier given diagnosis for patients.

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