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http://dx.doi.org/10.22156/CS4SMB.2019.9.2.001

Design of Service Provision Framework using Medical Big Data  

Shin, Bong-Hi (Dept. of Computer Science & Engineering, Incheon National University)
Jeon, Hye-Kyoung (YM-NaeulTec)
Publication Information
Journal of Convergence for Information Technology / v.9, no.2, 2019 , pp. 1-6 More about this Journal
Abstract
In this article, we have presented a framework, designed to create new services for businesses, which use large sets of medical data. It is not a simple data analysis step, but it clarifies the purpose of data utilization, analyses it, extracts value from it, and designs a process from actual business or service to an operation. The designed frame work covers the basic architecture and social system model. It was designed, using basic data, which was focused on large sets of medical data, and to be applied to a social system with reference to the designed framework. We are looking forward to create various medical business alliances and services applying the designed framework to the available sets of basic medical data.
Keywords
Convergence; Big Data; Creation of service; Framework; Medical;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 K. S. Kim.(2015.08.12). Little and often fills the purse. www.ablenews.co.kr
2 Y. S. Jeong. (2015). U-healthcare Service Management Scheme for Big Data of Patient Infomation. Journal of Convergence Society for SMB, 5(1), 1-6
3 T. M. Song.(2013). Korea's Health and Welfare Big Data Trend and Utilization Plan. Science and Technology Policy Institute, 23(3).
4 J. S. Hwang. (2013). Big data, how to balance privacy and social values. The Journal of Digital Policy & Management, 11(11), 143-153.
5 M. G. Song. (2016). The suggestion of new big data platform for the strengthening of privacy and enabled of big data. Journal of Digital Convergence, 14(12), 155-164.   DOI
6 Y. Lee, C. H. Song & C. R. Park. (2016). A Study of Guidelines for Coverage in Dangerous Areas. The Case of Japan. Japanese Cultural Studies, 58, 227-252.
7 J. B. Yi, C. K. Lee & K. J. Cha. (2015). An Analysis of IT Trends Using Tweet Data. Journal of Intelligence and Information Systems, 21(1), 143-159.   DOI
8 D. W. Kim. (2013). Big Data Use Cases of the Sector. Dong-A University Business Research Center, 34, 39-52.
9 J. J. Hong. (2017). The Improvement Plans of Legal Framework and Regulations of IoT Healthcare Service. KANGWON LAW REVIEW, 50, 801-837.   DOI
10 O. H. Kwan, S. H. Nam & C. H. Lee. (2001). A Study on Practical Analyzing and Improving Disaster Management Organization of Korean Government. Korea Institute of Fire Science and Engineering, 15(1), 127-138.
11 S. H. Oh & S. H. Shin. (2016) Correlation Analysis of Gyeongju Earthquake Waveform and Structural Damage Scale. JOURNAL OF THE ARCHITECTURAL INSTITUTE OF KOREA Structure & Construction, 32(12), 33-44.   DOI