A Design of Effective Inference Methods and Their Application Guidelines for Supporting Various Medical Analytics Schemes 


Vol. 42,  No. 12, pp. 1590-1599, Dec.  2015


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  Abstract

As a variety of personal medical devices appear, it is possible to acquire a large number of diverse medical contexts from the devices. There have been efforts to analyze the medical contexts via software applications. In this paper, we propose a generic model of medical analytics schemes that are used by medical experts, identify inference methods for realizing each medical analytics scheme, and present guidelines for applying the inference methods to the medical analytics schemes. Additionally, we develop a PoC inference system and analyze real medical contexts to diagnose relevant diseases so that we can validate the feasibility and effectiveness of the proposed medical analytics schemes and guidelines of applying inference methods.


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  Cite this article

[IEEE Style]

M. K. Kim, H. J. La, S. D. Kim, "A Design of Effective Inference Methods and Their Application Guidelines for Supporting Various Medical Analytics Schemes," Journal of KIISE, JOK, vol. 42, no. 12, pp. 1590-1599, 2015. DOI: .


[ACM Style]

Moon Kwon Kim, Hyun Jung La, and Soo Dong Kim. 2015. A Design of Effective Inference Methods and Their Application Guidelines for Supporting Various Medical Analytics Schemes. Journal of KIISE, JOK, 42, 12, (2015), 1590-1599. DOI: .


[KCI Style]

김문권, 라현정, 김수동, "다양한 의료 분석 방식을 지원하는 효과적 추론 기법 설계 및 적용 지침," 한국정보과학회 논문지, 제42권, 제12호, 1590~1599쪽, 2015. DOI: .


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