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http://dx.doi.org/10.6109/jkiice.2007.11.11.2150

Self Disease Diagnosis System Using Enhanced ART2 Algorithm  

Kim, Kwang-Baek (신라대학교 컴퓨터정보공학부)
Woo, Young-Woon (동의대학교 멀티미디어공학과)
Kim, Ju-Sung (신라대학교 간호학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.11, 2007 , pp. 2150-2157 More about this Journal
Abstract
In this paper, we have proposed a self disease diagnosis system for ordinary persons to help the decision of access methods to a specialized medical management, and for medical specialities to discover new diseases and their symptoms easily, using verification of an individual#s health status by a series of processes performed by oneself. In the proposed self disease diagnosis system, illness is decided by 60 kinds of diseases selected using the report called #Diseases that Koreans take seriously# published by Ministry of Health & Welfare and medical contents called #Engel Pharm#, and also using 161 representative symptoms for the 60 kinds of diseases. An individual#s health information is extracted by diagnosis of one#s health status by a clustering of the 60 kinds of diseases using enhanced ART2 algorithm and input vectors from the results of questions for symptoms of each disease.
Keywords
Self Disease Diagnosis; Representative Symptoms; ART2 Algorithm; Clustering;
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