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http://dx.doi.org/10.5573/ieie.2014.51.3.147

Design and Implementation of Chronic Disease Risk Analysis System according to Personalized Food Intake Preferences  

Jeon, So Hye (Graduate Program of Biomedical Engineering, Graduate School, Yonsei University)
Kim, Nam Hyun (Department of Medical Enginnering, College of Medicine, Yonsei University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.3, 2014 , pp. 147-155 More about this Journal
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.
Keywords
Hypertension; Diabetes; Food intak Preference; Risk Analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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