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http://dx.doi.org/10.9708/jksci.2021.26.11.217

Design and Implementation of the Prevention System for Side Effects of Polypharmacy Components Utilizing Data Queuing Algorithm  

Choi, Jiwon (Division of Global Business & Technology, Hankuk University of Foreign Studies)
Kim, Chanjoo (Division of Global Business & Technology, Hankuk University of Foreign Studies)
Ko, Yunhee (Division of Global Business & Technology, Hankuk University of Foreign Studies)
Im, Hyeji (Division of Global Business & Technology, Hankuk University of Foreign Studies)
Moon, Yoo-Jin (Division of Global Business & Technology, Hankuk University of Foreign Studies)
McLain, Reid (Division of Global Business & Technology, Hankuk University of Foreign Studies)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.11, 2021 , pp. 217-225 More about this Journal
Abstract
In this paper, we designed and implemented the integrated system to prevent adverse drug reactions of polypharmacy components in medicine by supporting component-component information and disease-component information, through data queuing algorithm and vast amounts of pharmaceutical big data. In addition, by providing information for drugs, drug components, prohibited drugs, as well as suppliers and distributors, it could help ease anxiety about taking drugs not only for health-care professionals but also for general users. The representative information provided were side effects between two drugs, main components and effectiveness of particular drugs, drugs manufactured by the same pharmaceutical company, and drug component information for patients with chronic diseases. The future work is to update the database by collecting information on rare & new diseases and new drugs.
Keywords
Data Queuing Algorithm; Polypharmacy Components; Adverse Drug Reaction; Big Data;
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