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개인 식품섭취 선호도에 따른 만성질환 발생 위험도 분석 시스템 설계 및 구현

Other Titles
 Design and Implementation of Chronic Disease Risk Analysis System according to Personalized Food Intake Preferences 
Authors
 So Hye Jeon  ;  Nam Hyun Kim 
Citation
 Journal of the Institute of Electronics and Information Engineers of Korea (전자공학회논문지), Vol.51(3) : 147-155, 2014 
Journal Title
Journal of the Institute of Electronics and Information Engineers of Korea(전자공학회논문지)
ISSN
 2287-5026 
Issue Date
2014
Keywords
Hypertension ; Diabetes ; Food intake Preference ; Risk Analysis
Abstract
While variety of content on the internet has increased with the development of IT and person's needs about suitable information are increasing rapidly, studies for personalized service have been actively performed. In the study, we proposed the Hypertension and Diabetes risk analysis system according to personal food intake preference using the analysis method of buying preferences in product recommendation system. For the analysis of food intake preference, the Pearson correlation coefficient is used to calculate similarity weights between each reference analysis data and sample data and then reference data should be grouping into the similarity weights and calculating risk of hypertension and diabetes each group. To evaluate the significance of this system, 1,021 subjects are applied the system. Hypertension and diabetes groups' risk is significant higher than normal group statistically so, it is confirmed that food intake preference and the diseases were relevant. In this paper, we verify the validity of hypertension and diabetes risk analysis system using a personal food intake preference.
Files in This Item:
T201406222.pdf Download
DOI
10.5573/ieie.2014.51.3.147
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Nam Hyun(김남현)
Jeon, So Hye(전소혜)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/139097
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