KR20170054628A - Considering the personal genotype and phenotype information customized food information referral system - Google Patents
Considering the personal genotype and phenotype information customized food information referral system Download PDFInfo
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- KR20170054628A KR20170054628A KR1020150156844A KR20150156844A KR20170054628A KR 20170054628 A KR20170054628 A KR 20170054628A KR 1020150156844 A KR1020150156844 A KR 1020150156844A KR 20150156844 A KR20150156844 A KR 20150156844A KR 20170054628 A KR20170054628 A KR 20170054628A
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- 235000013305 food Nutrition 0.000 title claims abstract description 75
- 208000008589 Obesity Diseases 0.000 claims abstract description 25
- 235000020824 obesity Nutrition 0.000 claims abstract description 25
- 235000005911 diet Nutrition 0.000 claims abstract description 14
- 230000037213 diet Effects 0.000 claims abstract description 13
- 238000012098 association analyses Methods 0.000 claims abstract description 12
- 235000012054 meals Nutrition 0.000 claims abstract description 4
- 230000002068 genetic effect Effects 0.000 claims description 33
- 230000004060 metabolic process Effects 0.000 claims description 25
- 235000012041 food component Nutrition 0.000 claims description 21
- 239000005417 food ingredient Substances 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 10
- 235000016709 nutrition Nutrition 0.000 claims description 10
- 239000000463 material Substances 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 239000000284 extract Substances 0.000 claims description 7
- 230000035764 nutrition Effects 0.000 claims description 6
- 230000037396 body weight Effects 0.000 claims description 4
- 239000004615 ingredient Substances 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 8
- 235000019577 caloric intake Nutrition 0.000 description 5
- 230000004580 weight loss Effects 0.000 description 4
- 208000007683 Pediatric Obesity Diseases 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 235000015097 nutrients Nutrition 0.000 description 2
- 235000020827 calorie restriction Nutrition 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003205 genotyping method Methods 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 230000037323 metabolic rate Effects 0.000 description 1
- 239000002207 metabolite Substances 0.000 description 1
- 239000002773 nucleotide Substances 0.000 description 1
- 125000003729 nucleotide group Chemical group 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
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Abstract
The present invention relates to a customized food information recommendation system considering personal genotype and phenotypic information, comprising: an input unit for inputting personal information of a user including at least one of genotype information, phenotypic information, and user's diet information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one of the obesity risk calculated by the processing unit and the food information created by the processing unit, and a personalized food information recommendation system considering the personal genotype and the phenotype information.
Description
Disclosure of the present invention relates generally to a personalized food information recommendation system that takes personal genotypic and phenotypic information into consideration, and more particularly relates to a personalized food information system that takes into account individual genotypes and phenotype information to help inform and manage obesity risk using input information Recommendation system.
Herein, the background art relating to the present disclosure is provided, and these are not necessarily meant to be known arts.
1 is a view showing an example of an
And an
FIG. 2 is a diagram showing an example of a diet weight loss standard and a daily expected weight increase / decrease calculation method disclosed in Korean Patent Laid-Open No. 10-2002-0064661, and an Internet wired / wireless obesity management system using the same. The present invention calculates the degree of
This will be described later in the Specification for Implementation of the Invention.
SUMMARY OF THE INVENTION Herein, a general summary of the present disclosure is provided, which should not be construed as limiting the scope of the present disclosure. of its features).
According to one aspect of the present disclosure, there is provided a customized food information recommendation system considering individual genotype and phenotypic information, wherein the system comprises at least one of genotype information, phenotypic information, An input unit for inputting user's personal information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one or more of the obesity risk calculated by the processor and the food information created by the processing unit, and a customized food information recommendation system considering personal genotype and phenotype information.
This will be described later in the Specification for Implementation of the Invention.
1 is a view showing an example of an obesity management system disclosed in Korean Patent Laid-Open No. 10-2011-0098409,
FIG. 2 is a diagram showing an example of a diet weight loss standard and a daily expected weight change calculation method and an Internet wired / wireless obesity management system using the method shown in Korean Patent Laid-Open No. 10-2002-0064661,
3 is a diagram illustrating an example of a customized food information recommendation system in consideration of personal genotype and phenotype information according to the present disclosure;
4 is a diagram showing an example of a display unit of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure;
5 is a diagram showing another example of a display unit of a customized food information recommendation system considering personal genotype and phenotype information according to the present disclosure;
The present disclosure will now be described in detail with reference to the accompanying drawings.
3 is a diagram showing an example of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure.
The customized food information recommendation system considering personal genotype and phenotype information may include an
The
The genotype information includes genetic information, can be uploaded to the
The phenotype information may include the user's weight, key, sex, age, target weight information, and goal achievement period information.
The user can input the user's diet into the
The
The food information may include calorie information for each food, material information for each food item, nutritional information for each ingredient, number of times consumed per food, and nutritional composition calculation formula information.
The
When the expression information is input to the
When the user's menu information is input to the
The
The
4 is a diagram showing an example of a display unit of a customized food information recommendation system considering individual genotype and phenotype information according to the present disclosure.
It is a display unit of a customized food information recommendation system considering personal genotype and phenotypic information in which genotype information is inputted to an input unit. The display unit includes an
5 is a diagram showing another example of the display unit of the customized food information recommendation system considering personal genotype and phenotype information according to the present disclosure.
It is a display unit of a customized food information recommendation system that considers personal genotype and phenotype information into which expression information is inputted in an input unit. The display unit includes a
Various embodiments of the present disclosure will be described below.
(1) A customized food information recommendation system considering individual genotype and phenotype information, comprising: an input unit for inputting personal information of a user including at least one of genotype information, phenotypic information, and user's diet information; Genome wide association study (GWAS) information and food information; Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And a display unit for displaying at least one of the obesity risk calculated by the processing unit and the food information created by the processing unit, based on the personal genotype and the phenotype information.
(2) The personalized food information recommendation system considering personal genotype and phenotype information, wherein the phenotype information further includes at least one of target weight information and target achievement period information.
(3) The processing unit further includes calculating calorie information for achieving the target body weight using the phenotype information, wherein the personalized food information recommendation system considers the personal genotype and the phenotype information.
(4) The food information includes at least one of calorie information for each food, material information for each food, nutritional information for each ingredient, number of times of consumption per food, and nutritional composition calculation formula information. Customized Food Information Recommendation System Considered.
(5) The storage unit may further include at least one of genotype information, genetic information, metabolism information, and food ingredient information, and the processing unit may include genetic information, genetic information, metabolism information, Wherein information related to at least one of information, genetic information, metabolism information, and food ingredient information is further extracted.
(6) a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit when at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit A customized food information recommendation system that takes into consideration individual genotype and phenotype information.
(7) The personalized food information recommendation system considering personal genotype and phenotype information, wherein the phenotype information includes at least one of weight, key, sex, age, target weight information, and target achievement period information of the user.
(8) The customized food information recommendation system considering personal genotype and phenotype information, characterized in that the processor compares and analyzes the inputted user's menu information and phenotype information to extract the menu information corresponding to the phenotype information.
(9) the phenotype information further includes at least one of target weight information and target achievement period information, and the processing unit further includes calculating calorie information for achieving the target weight using the phenotype information, Includes at least one or more of calorie information per food, food information per food, nutrition information per material, number of times consumed per food, and nutrition component calculation formula information, and the storage unit stores at least one of genotype information, genetic information, metabolism information, Wherein the processing unit further comprises at least one of genotype information, genetic information, metabolism information, and genetic information input by comparing and analyzing the information on food ingredients, genetic information, metabolism information, and food ingredient information, Further extracts related information, and at least one of genetic information, genetic information, metabolism information, and food ingredient information And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit when the image is input to the input unit, wherein the phenotype information includes at least one of weight, key, sex, And the processor compares and analyzes the inputted user's menu information with the phenotype information and extracts the menu information corresponding to the phenotype information. The customized food information recommendation system considering the personal genotype and the phenotype information.
According to the present disclosure, there is provided a customized food information recommendation system that considers personal genotype and phenotype information to provide personalized menu information through phenotype information.
Also, according to the present disclosure, there is provided a customized food information recommendation system considering individual genotype and phenotype information for predicting obesity risk through genetic information.
Claims (9)
An input unit for inputting user's personal information including at least one of genotype information, phenotypic information, and user's diet information;
Genome wide association study (GWAS) information and food information;
Calculating a risk of obesity according to the genotype information using the input genotype information and the full-length genome association analysis information, and generating at least one meal information using the phenotype information and the food information; And,
And a display unit for displaying at least one or more of the obesity risk calculated by the processing unit and the food information created by the processing unit, based on the individual genotype and the phenotype information.
Wherein the phenotype information further includes at least one of target weight information and target achievement period information, wherein the personalized genotype and phenotype information are taken into account.
Wherein the processor further comprises calculating calorie information for achieving the target body weight using the phenotype information, wherein the personalized food information recommendation system considers the personal genotype and the phenotype information.
Wherein the food information includes at least one of calorie information for each food item, material information for each food item, information about nutrition information for each ingredient, the number of consumed foods, and nutrition component calculation formula information. Information Recommendation System.
The full-field genome association analysis information further includes at least one of genotype information, genetic information, metabolism information, and food ingredient information,
The processing unit further extracts information related to at least one of genotype information, genetic information, metabolism information, and food ingredient information, and genotype information, genetic information, metabolism information, and food ingredient information, Personalized food information recommendation system considering personal genotype and phenotype information.
When at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit,
And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit, wherein the personalized genotype and the phenotype information are taken into account.
Wherein the phenotype information includes at least one of a body weight, a key, a sex, an age, a target weight information, and a target achievement period information of the user, wherein the personalized genotype and the phenotype information are taken into consideration.
And the processor compares and analyzes the inputted user's menu information and the phenotype information to extract the menu information corresponding to the phenotype information, and the customized food information recommendation system considering the personal genotype and the phenotype information.
The phenotype information further includes at least one of target weight information and target achievement period information,
The processor further comprises calculating calorie information for achieving the target body weight using the phenotype information,
The food information includes at least one of calorie information for each food, material information for each food, nutrition information for each ingredient, number of times of consumption per food, and nutrition component calculation formula information,
The storage unit may further include at least one of genotype information, genetic information, metabolism information, and food ingredient information,
The processing unit further extracts information related to at least one of genotype information, genetic information, metabolism information, and food ingredient information inputted by comparing and analyzing with genotype information, genetic information, metabolism information, and food ingredient information,
When at least one of genotype information, genetic information, metabolism information, and food ingredient information is input to the input unit,
And a processing unit for extracting genotype information, genetic information, metabolism information, and food ingredient information of the storage unit,
The phenotype information includes at least one of the user's weight, key, sex, age, target weight information, and target achievement period information,
And the processor compares and analyzes the inputted user's menu information and the phenotype information to extract the menu information corresponding to the phenotype information, and the customized food information recommendation system considering the personal genotype and the phenotype information.
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WO2019054737A1 (en) * | 2017-09-13 | 2019-03-21 | 지니너스 주식회사 | Personalized body fat management method using obesity-related genetic information |
KR102043959B1 (en) * | 2019-07-25 | 2019-11-12 | (주)어메이징푸드솔루션 | System for providing personalized food menus based on gene type and health record data |
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- 2015-11-09 KR KR1020150156844A patent/KR20170054628A/en not_active Application Discontinuation
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WO2019054737A1 (en) * | 2017-09-13 | 2019-03-21 | 지니너스 주식회사 | Personalized body fat management method using obesity-related genetic information |
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KR102044419B1 (en) * | 2019-08-16 | 2019-11-14 | 주식회사 클리노믹스 | System for Recommending individual beverage using gene Information And Driving method thereof |
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KR102361703B1 (en) * | 2021-07-23 | 2022-02-14 | 주식회사 샐러딧 | Method and device for providing salad menu recommendation service |
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KR102506472B1 (en) | 2022-11-07 | 2023-03-07 | 주식회사 그리네버 | Method, device and system for providing hyper-personalized customized food purchase recommendation service based on artificial intelligence |
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