首页> 外国专利> PHENOTYPE-CHEMICAL NETWORK SYSTEM AND METHOD FOR PROVIDING PERSONALIZED DIETARY DATA

PHENOTYPE-CHEMICAL NETWORK SYSTEM AND METHOD FOR PROVIDING PERSONALIZED DIETARY DATA

机译:表型化学网络系统和提供个人饮食数据的方法

摘要

The present invention relates to a phenotype-chemical network system for providing dietary component data customized for individuals, and a providing method for a phenotype-chemical network using the same. The system comprises: an input unit which is provided to input food information; a phenotype-chemical mining tool which, from the food information by the input unit, extracts information on chemicals related to a phenotype of the food on the basis of a phenotype-chemical mining; an extracting unit which for the food, extracts an item of the nutritional ingredient standard from nutritional ingredient database built by the state, regions or groups; a comparison unit which compares chemicals related to the phenotype and extracted by the phenotype-chemical mining tool, with the nutritional ingredient standard item extracted by the extracting unit, and for the food, makes a list of nutritional ingredients which are commonly showed both in the chemicals related to the phenotype and the nutritional ingredient standard item; and a memory unit which stores the chemicals related to the phenotype, the nutritional ingredient standard item and the nutritional ingredient list. According to the present invention, the system can confirm correlation of food with diseases by using the phenotype-chemical mining technique.
机译:本发明涉及用于提供针对个体定制的饮食成分数据的表型-化学网络系统,以及使用该系统的表型-化学网络的提供方法。该系统包括:输入单元,被提供来输入食物信息;以及表型化学挖掘工具,其通过输入单元从食物信息中提取基于表型化学挖掘的与食物的表型有关的化学物质的信息;提取单元,用于从国家,地区或团体建立的营养成分数据库中提取食品的营养成分标准项目;比较单元将表型化学挖掘工具提取的与表型有关的化学物质与提取单元提取的营养成分标准品进行比较,对于食品,列出在表中通常显示的营养成分清单与表型和营养成分标准项目有关的化学物质;存储单元,存储与表型,营养成分基准项目和营养成分表有关的化学药品。根据本发明,该系统可以通过使用表型-化学挖掘技术来确认食物与疾病的相关性。

著录项

  • 公开/公告号KR20160061065A

    专利类型

  • 公开/公告日2016-05-31

    原文格式PDF

  • 申请/专利权人 INSILICOGEN INCORPORATION;

    申请/专利号KR20140163505

  • 发明设计人 CHOL NAM WOO;KANG BYEONG CHUL;

    申请日2014-11-21

  • 分类号G06Q50/22;G06F17/30;

  • 国家 KR

  • 入库时间 2022-08-21 14:14:23

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号