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Self Health Diagnosis System of Oriental Medicine Using Enhanced Fuzzy ART Algorithm
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2010, 15(2), pp.27-34
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2010, 15(2), pp.27-34
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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Recently, lots of internet service companies provide on-line health diagnosis systems. But general persons not having expert knowledge are difficult to use, because most of the health diagnosis systems present prescriptions or dietetic treatments for diseases based on western medicine. In this paper, a self health diagnosis system of oriental medicine coinciding with physical characteristics of Korean using fuzzy ART algorithm, is proposed. In the proposed system, three high rank of diseases having high similarity values are derived by comparing symptoms presented by a user with learned symptoms of specific diseases based on treatment records using neural networks. And also the proposed system shows overall symptoms and folk remedies for the three high rank of diseases. Database on diseases and symptoms is built by several oriental medicine books and then verified by a medical specialist of oriental medicine. The proposed self health diagnosis system of oriental medicine showed better performance than conventional health diagnosis systems by means of learning diseases and symptoms using treatment records.
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