Intelligent diabetes mellitus caloric management method and system

Abstract

The invention discloses an intelligent diabetes mellitus caloric management method and system. The method comprises the following steps: S1, acquiring the caloric of each diet taken by a patient in acertain time period; S2, obtaining heat consumed by each movement of the patient in the time period; S3, acquiring a fasting blood glucose value and a glycosylated hemoglobin value, a postprandial blood glucose value and a glycosylated hemoglobin value, and a postprandial two-hour blood glucose value and a glycosylated hemoglobin value of the patient in the time period; S4, substituting the regionof the patient, the calorie of each diet, the calorie consumed by each exercise, the fasting blood glucose value and glycosylated hemoglobin value, the postprandial blood glucose value and glycosylated hemoglobin value, and the postprandial two-hour blood glucose value and glycosylated hemoglobin value into the embedded graph model for training; substituting the embedded graph model training result into a graph convolutional neural network for training to obtain a heat control scheme which is similar to the patient and marked as a patient subjected to blood glucose management, and recommending the heat control scheme to the patient.

Description

technical field [0001] The invention relates to the technical field of diabetes calorie management, in particular to an intelligent diabetes calorie management method and system. Background technique [0002] Due to the acceleration of population aging process and unhealthy lifestyles caused by industrialization and urbanization, the incidence of chronic diseases in China has shown a rapid upward trend in recent years, and the number of deaths caused by chronic diseases has accounted for 86.6% of the total death toll in the country. accounts for nearly 70% of the total disease burden. Among them, diabetes is particularly prominent. According to the data released by the International Diabetes Federation in 2015, as of 2015, the prevalence rate of adults (20-79 years old) in the world was 10.6%, and the number of adult diabetic patients reached 415 million. Among them, the number of adult diabetic patients in China exceeds 100 million, accounting for about a quarter of the g...

AI Technical Summary

Problems solved by technology

However, due to the poor self-management ability of patients and the lack of common sense of calorie management, they cannot perform daily self-management well

According to relevant data, less than 20% of diabetic patients have correct knowledge of insulin use, diet and foot care, 61.4% of patients do not understand diet control, and 36.88% do not understand exercise control

The traditional calorie management scheme calculates the required calorie consumption based on the total calorie control and the proportion of the actual product. However, this method cannot take into account the user's habits, resulting in low compliance

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