Developing an Intelligent Health Pre-diagnosis System for Korean Traditional Medicine Public User

• Published in: Journal of Information and Communication Convergence Engineering, 15(2) Vol. 15; no. 2; pp. 85 - 90
• Main Author: Kwang Baek Kim
• Format: Journal Article
• Language: English
• Published: 한국정보통신학회JICCE 01.06.2017; 한국정보통신학회
• Subjects: 전자/정보통신공학; Korean traditional medicine; FCM; Fuzzy inference; Disease/symptoms database; Self-health diagnosis
• ISSN: 2234-8255; 2234-8883
• DOI: 10.6109/jicce.2017.15.2.85

Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use. KCI Citation Count: 0