A chronic disease identification scheme using radar chart method for personalized healthcare system

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.