Nutrition data analysis and guidance method for chronic diseases

Abstract

The invention discloses a nutrition data analysis and guidance method for chronic diseases. The method comprises the steps that 1, a user logs in an APP; 2, the user records personal basic information, disease information and pregnancy state of the user by using the APP; 3, the user uses the APP to record the diet content of the user every day, and establish a food material-nutritional ingredientdatabase; 4, the recorded data is sent to a data processing platform; 5, if the user needs further nutrition suggestions, a diet recording function provided by the APP is used; and 6, the healthy dietanalysis is achieved to guide result sharing. According to the invention, multi-party data such as personal basic information, disease information, pregnancy state, diet content and the like of a user are combined, data is processed, displayed and recorded by using a proper technology, then a user can share the recorded data to a doctor, and the doctor sets new data indexes for reference after receiving the data, so that the user is helped to have healthy diet.

Description

technical field [0001] The present invention relates to various fields such as precision nutrition, Internet technology, big data, artificial intelligence, health management technology, etc., and in particular relates to a nutritional data analysis and guidance method for chronic diseases. Background technique [0002] With the rapid development of society and continuous improvement of economic level, people's nutritional and health status has been significantly improved, dietary quality and physical fitness have been significantly improved, and malnutrition and anemia are showing a downward trend year by year. However, the change in lifestyle has also brought about some nutritional problems. For example, a healthy lifestyle has not been fully popularized, the dietary structure is still not particularly reasonable, and chronic diseases such as high blood pressure and gout are also posing increasingly serious threats to health. . Balanced nutritional intake is of great signi...

AI Technical Summary

Problems solved by technology

But first of all, this method is only for patients in the hospital, and there is no nutritional data analysis guidance for patients at home. Secondly, the doctor will not set a specific amount for the patient during the guidance process, because everyone has different concepts of more and less. same, so it is difficult to analyze and guide patients without accurate nutritional data indicators

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