Hierarchical Clustering based Personalized Feedback System for Mass Health Examination (집단 건강검진을 위한 계층군집 기반 개인화 피드백 시스템 )

강현경; 김준우

Hierarchical Clustering based Personalized Feedback System for Mass Health Examination

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2011, 6(4), pp.103-112
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : August 31, 2011

강현경 ¹, 김준우 ²

¹신라대학교
²동아대학교

Candidate

ABSTRACT

As the living standards have improved, the healthcare becomes a major concern of the people and organizations such as schools and companies. The mass health examination is known to be helpful for early detection of diseases, however, there is a limitation that the examination results are generally used to simply identify specific symptoms and diseases. To make full use of the mass health examination result, this paper proposes an intelligent feedback system which can evaluate the individual risk for symptoms and diseases not identified in the examination results and provide the health-related advices. To this end, the hierarchical clustering analysis, one of the common data mining techniques, is deployed to extract the characteristics of the target examinee group. Our system is applied to analyze the mass dental examination result of high school students.

KEYWORDS

Health Examination, Medical Data Mining, Hierarchical Clustering, Personalized Service, Recommendation

Citation status

* References for papers published after 2023 are currently being built.

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