Design and Implementation of the Prevention System for Side Effects of Polypharmacy Components Utilizing Data Queuing Algorithm
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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.
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.
참고문헌 (30)
- H. Choi, "Drone Functional Service System for Dementia Seniors in the Aging Society towards the Innovative Safe Welfare", International Journal of Software & Hardware Research in Engineering, 8(7), pp.34~42 (2020)
- "Five or more "drug-taking Koreans" are the most in the OECD" (2019)[URL]
- "National Health Insurance Service" (2020)[URL]
- "As the number of prescription drugs increases, the risk of hospitalization and death increases" (2019)[URL]
- "Consumer awareness of pharmaceutical companies “differentiating morality,”" (2019)[URL]
- "More than 2 million polypharmaceuticals at high risk of hospitalization and death" (2020)[URL]
- 이진이, "의약품 부작용의 심각도 조사 비교분석", 한국임상약학회지, 21(3), pp.237~242 (2011), 한국임상약학회
- Bruce Lehrman, "Big Data’s Role in the Post-COVID Era", Data Agility, 16(11) (2020)
- Jun Wu, "Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations", Journal of Medical Internet Research, 22(10), pp.e21980~ (2020), JMIR Publications Inc.[DOI]
- Yong Chen, "Big Data Analytics and Big Data Science : A Survey", Journal of Management Analytics, 3(1), pp.1~42 (2016)
- "Big Data Analytics - Reveal the Best Opportunities for Big Data Companies" (2021)[URL]
- 김성호, "BDBA(Big Data Business Analytics) 시스템과 SCM 관계에 관한 연구", 무역통상학회지, 19(2), pp.89~107 (2019), 한국무역통상학회
- N. B. Lassen, "The SAGE Handbook of Social Media Research Methods", pp.328~341 (2016)
- Y. Lu, "Integrating Predictive Analytics and Social Media", 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) (2014)
- S. Hai-Jew, "Social Media Data Extraction and Content Analysis" (2017), IGI Global
- F. Zeller, "The SAGE Handbook of Social Media Research Methods", pp.386~403 (2016)
- 전효정, "알레르기를 포함한 의약품 부작용에 대한 환자의 인식도 조사", 한국임상약학회지, 20(3), pp.171~182 (2010), 한국임상약학회
- 경은정, "약물감시사업과 약물유해반응에 대한 인식도 조사", 한국임상약학회지, 23(3), pp.256~268 (2013), 한국임상약학회
- Jia Wang, "Design and Implementation of Intelligent Medical System for Chronic Diseases", American Journal of Computer Science and Technology, 3(4), pp.86~91 (2020)
- David Kroenke, "Database Concepts" (2015), Pearson
- 이철원, "한국의 사회적경제 정보 종합 검색서비스 제공을 위한 DB 시스템의 설계 및 구현", 한국컴퓨터정보학회논문지, 22(5), pp.73~79 (2017), 한국컴퓨터정보학회[DOI]
- Byung-Jun Song, "Building and Application of Bicycle Transportation System Utilizing Public Big Data", Proceedings of the Korea Society of Computer and Information, pp.432~433 (2019)
- 신성호, "데이터 품질을 고려한 국가R&D정보 데이터베이스의 통합 사례 연구- NTIS 데이터베이스 통합 사례", 한국컴퓨터정보학회논문지, 16(6), pp.119~130 (2011), 한국컴퓨터정보학회
- 이준호, "Development of the Unified Database Design Methodology for Big Data Applications - based on MongoDB -", 한국컴퓨터정보학회논문지, 23(3), pp.41~48 (2018), 한국컴퓨터정보학회[DOI]
- "DUR(Drug Utilization Review) Items, Ministry of Food and Drug Safety" (2020)[URL]
- "Korea Local Information Research & Development Institute (LOCALDATA)" (2020)[URL]
- "Patient Data, Prescription Data" (2020)[URL]
- "Chemical Reaction, Effectiveness for Diseases" (2020)[URL]
- Y. K. Jang, "A Database Design Using Denormalization in Relational Database", Journal of the Korean Institution of Industrial Engineers, pp.172~178 (1996)
- H. H. Choi, "Design and Implementation of Public Bicycle Transportation System Using Public Big Data", International Journal of Software & Hardware Research in Engineering, 7(7), pp.25~32 (2019)