Nutritious recipe generation method and device

Abstract

The invention discloses a method and device for generating a nutritional recipe, wherein the method includes: obtaining basic information of the user and health information of the user, wherein the health information includes the daily diet information of the user; evaluating the user's health information according to the basic information and the health information Dietary risks; calculate energy and nutrient intakes that help users avoid health risks based on basic information and health information, and allocate energy and nutrient intakes to the user's daily meals; and The user's nutritional recipe is generated by setting the selected food, dietary risk and energy and nutrient intake required by each meal. The method can recommend nutritional recipes that are in line with the user's own, which improves the user's acceptance of the recipes, and because the nutritional recipes are generated with the help of computer and Internet big data technology, the cost of compiling the recipes that are in line with the user's own is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of electronic management of nutritional recipes, in particular to a method and device for generating nutritional recipes. Background technique [0002] The Chinese Nutrition Society has released a new version of the "Dietary Guidelines for Chinese Residents". Through research on healthy diets, it has launched a dietary pagoda model for Chinese population standards, and proposed recommended data on dietary nutrition and energy intake. However, these recommended dietary structure and energy supply data about population health are generated based on the statistical analysis of a certain sample size survey data to determine the recommended value range for the relationship between dietary energy supply and structure of a certain population, so it is not of sufficient application value for specific individuals. Because the dietary prescriptions for different groups of people launched according to the traditional m...

AI Technical Summary

Problems solved by technology

However, these recommended dietary structure and energy supply data about population health are generated based on the statistical analysis of a certain sample size survey data to determine the recommended value range for the relationship between dietary energy supply and structure of a certain population, so it is not of sufficient application value for specific individuals. Because the dietary prescriptions for different groups of people launched according to the traditional method generally give general and uniform dietary prescriptions, which cannot be quantified in response to individual or group characteristics

[0003] Although, a professional nutritionist will base on the basic characteristics of the individual, such as height, weight, exercise, disease and other needs, according to the nutritional content and content of various foods, the body's response to energy, protein, fat, carbohydrates, vitamins, etc. The demand for nutrients, the dietary ratio of each meal, after complex calculations, choose a reasonable combination of food to maintain a balanced nutrition, but for individuals, the service cost of a private nutritionist is very high

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