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A Design of Effective Inference Methods and Their Application Guidelines for Supporting Various Medical Analytics Schemes
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  • Journal title : Journal of KIISE
  • Volume 42, Issue 12,  2015, pp.1590-1599
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2015.42.12.1590
 Title & Authors
A Design of Effective Inference Methods and Their Application Guidelines for Supporting Various Medical Analytics Schemes
Kim, Moon Kwon; La, Hyun Jung; Kim, Soo Dong;
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.
medical analytics;formal model;data processing;inference;
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