Personalized Nutrition Solution based on Nutrigenomics

被引:0
作者
Yang, Jitao [1 ]
机构
[1] Beijing Language & Culture Univ, Sch Informat Sci, Beijing 100083, Peoples R China
来源
2019 19TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA 2019) | 2019年
关键词
FOLIC-ACID; RISK;
D O I
10.1109/ICCSA.2019.00006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
People require various nutrients such as proteins, vitamins and minerals in diet to maintain our health. Due to the increasing unhealthy eating habits, many people are characterized as nutrition unbalance, causing dyslipidemia, obesity, diabetes or the other diseases. Therefore, from fundamental nutritional science into helpful dietary advice is nowadays one of the main challenges of nutrition healthcare science. Several international and national dietary guidelines provide nutrition recommendations for different kinds of food intake; however, the guidelines provide general recommendation for population rather than tailored for individuals. Nutrigenomics represents a better understanding of how genomics is connected with the development of personalized nutritional science and provides a promising approach for designing tailored nutritional solutions for individuals or population sub-groups. In this paper we design and implement a mobile professional personalized nutrition recommendation platform allowing the application of the new findings of nutrigenomics at the population sub-groups and even individual level.
引用
收藏
页码:102 / 107
页数:6
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