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Conference Paper A Chronic Disease Identification Scheme Using Radar Chart Method for Personalized Healthcare System
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Authors
Sangjin Jeong, Chan-Hyun Youn, Yong-Woon Kim
Issue Date
2013-12
Citation
International Conference on Ubiquitous Information Technologies and Applications (CUTE) 2013 (LNEE 280), v.280, pp.13-20
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/978-3-642-41671-2_3
Abstract
Facing to the increasing demands and challenges to personalized disease management, various researches on the personalized healthcare systems which can provide customizable healthcare and patient disease management services have been extensively performed. Among the managed disease, chronic diseases such as metabolic syndrome or diabetes are the main target the long-term diseases care, because the diseases require the real-time monitoring, the multidimensional quantitative analysis, and its classification of patients' diagnosing information. Therefore, to enhance the effectiveness of medical decision process during patient diagnosis, we propose a personalized patient disease identification scheme for effectively diagnosing and show the validity of the proposed scheme. © Springer-Verlag Berlin Heidelberg 2014.
KSP Keywords
Healthcare System, Identification Scheme, Management services, Metabolic syndrome, Personalized Healthcare, Quantitative analysis, Radar chart method, Real-time monitoring, chronic disease, decision process, disease identification