A dietary nutrition management method and system for patients with chronic diseases

Abstract

The invention discloses a diet nutrition management method and system for chronic disease patients, and relates to the technical field of healthy diet nutrition management. The method includes: collecting daily diet pictures of patients with various chronic diseases to form a diet gallery; preprocessing the diet pictures to obtain a diet target label set and an ingredient segmentation label set; using the diet pictures, diet target label sets, and ingredient segmentation label sets to separate Train the dietary target detection model and the ingredient segmentation model; connect the dietary target detection model and the ingredient segmentation model to the system in sequence, so that the target user's diet pictures go through the dietary target detection model and the ingredient segmentation model in turn, and finally output several pixel-level ingredient segmentations Figure; Perspective restoration of each ingredient segmentation map; Calculate the ratio of nutrient elements contained in all ingredients in the target user's diet picture based on the ingredient segmentation map; Make personalized diet suggestions. The present invention can provide users with accurate dietary advice while improving user compliance.

Description

technical field [0001] The invention relates to the technical field of nutrition management, in particular to a method and system for diet nutrition management of patients with chronic diseases. Background technique [0002] At present, with the improvement of living standards, people are more and more concerned about their own health. From the perspective of diet, people have gradually changed from caring about eating well to health, that is, paying attention to the nutrients in food and The content of calorie and other indicators, especially for patients with chronic diseases, diet control is particularly important. [0003] In the existing online diet management, users take photos of diet pictures and upload them to the system, and provide users with healthy diet suggestions by systematically analyzing the nutritional components in the diet pictures. However, in actual implementation, there is often a difference in perspective when the user shoots, resulting in errors in...

AI Technical Summary

Problems solved by technology

However, in actual implementation, users often have poor perspective when taking pictures, resulting in errors in the obtained nutritional components, and the resulting dietary advice is not accurate enough

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