Method for evaluating personal diet based on standard nutrient indexes

Abstract

The invention discloses a method for evaluating personal diet based on standard nutrient indexes. The method comprises the following steps: step 1, acquiring personal information of a user; step 2, acquiring diet information of the user; step 3, sending the information to an intelligent data processing center, and generating nutrient recommended intake corresponding to the user information; step 4, through the intelligent data processing center, processing the diet information of the user as follows: recording and storing the diet information input by the user; calling data of corresponding nutrients in a food material nutrient component database and a dish nutrient component database according to the quantity of food materials and dishes ingested by the user, and converting the diet information of the user into actual nutrient intake; and step 5, comparing the actual nutrient intake of the user with the recommended nutrient intake, and evaluating the diet condition of the user in a text form. According to the invention, a method for evaluating personal diet based on standard nutrient indexes becomes possible.

Description

technical field [0001] The invention relates to technical fields such as intelligent data analysis and technology mining, in particular to a method for evaluating personal diet based on standard nutrient indicators. Background technique [0002] Machine learning is a multi-field interdisciplinary subject that has gradually emerged in the past 20 years, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Artificial neural network is an algorithm in machine learning, which abstracts the human brain neuron network from the perspective of information processing and establishes a simple model. A neural network is regarded as a mathematical model containing many parameters, obtained by substituting several functions into each other. After providing the input and the desired output to the artificial neural network at the same time, the artificial neural network obtains all the weights in the model thro...

AI Technical Summary

Problems solved by technology

[0004] my country's diet mainly has the characteristics of a wide variety, various methods, and rich collocations. These characteristics ensure the diversification and comprehensiveness of the national nutritional intake. However, due to different regions or personal preferences, there are still many people's diets. In addition, although there are more and more programs and applications that provide users with healthy diet information, most of them still do not fully consider various nutrients role and the lack of professional theoretical support

These defects have caused certain troubles for users to understand and grasp their own diet structure and quality

Images