JOURNAL BROWSE
Search
Advanced SearchSearch Tips
The Big Data Analysis and Medical Quality Management for Wellness
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
The Big Data Analysis and Medical Quality Management for Wellness
Cho, Young-Bok; Woo, Sung-Hee; Lee, Sang-Ho;
  PDF(new window)
 Abstract
Medical technology development and increase the income level of a "Long and healthy Life=Wellness," with the growing interest in actively promoting and maintaining health and wellness has become enlarged. In addition, the demand for personalized health care services is growing and extensive medical moves of big data, disease prevention, too. In this paper, the main interest in the market, highlighting wellness in order to support big data-driven healthcare quality through patient-centered medical services purposes. Patients with drug dependence treatment is not to diet but to improve disease prevention and treatment based on analysis of big data. Analysing your Tweets-daily information and wellness disease prevention and treatment, based on the purpose of the dictionary. Efficient big data analysis for node while increasing processing time experiment. Test result case of total access time efficient 26% of one node to three nodes and case of data storage is 63%, case of data aggregate is 18% efficient of one node to three nodes.
 Keywords
Cloud Computing;Infrastructure as a Service (IaaS);Personal Healthcare Record;Hospital Information System;Wellness;
 Language
Korean
 Cited by
1.
의료정보시스템 운영에서 생성되는 의료 빅데이터의 활용가치,최준영;

한국전자통신학회논문지, 2015. vol.10. 12, pp.1403-1410 crossref(new window)
2.
라이프케어 실현을 위한 빅데이터 활용,신병주;유성준;

정보와 통신, 2015. vol.32. 11, pp.8-11
 References
1.
Sukja Ko, "Health Risk Prediction Using Big Health Data", The Journal of The Korea Institute for Health and Social Affairs, Vol.13, No.11, pp.43-52, 2012.

2.
Taemin Song, "South Korea health and welfare big data trends and proposals", Science and Technology Policy Institute, Vol.23, No.3, pp.56-73, 2013.

3.
Straus, Sharon E., etal., Evidence-Based Medicine-How to Practiceand Teach EBM, 3thed. Elsevier, London, 2005.

4.
Yongju Park, Gyeongeun Kong, "Wellness centered on big data with our overseas medical industry facts", www.digieco.co.kr, 2013.

5.
Yeonghui Noh etl, "Wellness industry's business model analysis of a study on industrial development-policy report", The National IT Promotion Agency, 2012.

6.
Seongsu Kim, "Building an effective business model of the industry of medical ICT convergence measures for them", www.digieco.co.kr, 2013.

7.
Seongryeol Yoon, "A study on health information communication and security system for PHR service", Gachon University Graduate schools, department of computer engineering, a doctor's thesis, 2013.

8.
Sunhyeong Jung, Jongryeol Park, " Study on Telemedicine system in Medical Law", Journal of The Korea Society of Computer and Information, Vol.17, No.12, pp.241-249, 2012. crossref(new window)

9.
Foto N. Afrati, Jeffrey D. Ullman, "Optimizing Multiway Joins in a Map-Reduce Environment," IEEE Transactions on Knowledge and Data Engineering, Vol.23, No.9, pp.1282-1298, 2011. crossref(new window)

10.
Pramod Bhatotia, Alexander Wieder, Rodrigo Rodrigues, Umut A. Acar, Rafael Pasquini, "Incoop: MapReduce for Incremental Computations," In Proceedings of SOCC'11, 2011.

11.
Sungsoo Kim, "Study on Big Data Utilization Plans of Medical Institutions", Journal of Digital convergence, Vol.12, No.2, pp.397-407, 2014 crossref(new window)

12.
Daeseog Heo, "Evidence-based Healthcare in Korea", Korean Medical Association, pp.934-935, 2009.

13.
Yongbin Kim, Problems of Personal Information Protection in Big Data Utilization and an Improvement Method Using PIMS, Kangwon National University industry graduate school,computer information and telecommunication engineering, a master's thesis, 2013.

14.
Youngbok Cho, Sunghee Woo, Sangho Lee, "The cloudHIS System for Personal Healthcare Information Integration Scheme of Cloud Computing Environment", Journal of the Korea society of computer and information, Vol.19, No.5 , pp.27-35, 2014.