6 results about "Nutrient intake" patented technology

The application provides an intelligent early warning and nutrition adaptation analysis method and system based on canteen food material big data, and belongs to the technical field of canteen intelligent management systems; the method comprises the following steps: obtaining inspection data of food materials to obtain inherent risk indexes of the food materials, obtaining supplier risk indexes of suppliers of the food materials in a current evaluation period t, evaluating seasonal risk indexes of the food materials according to a current environment, and obtaining overall risk values of the food materials through weighted fusion; selecting food materials with overall risk values not exceeding a threshold value, combining different food materials according to a menu to obtain a plurality of dishes, and evaluating dietary nutrition of the dishes; evaluating whether the daily nutrient intake of a meal object meets the demand according to a combination of a plurality of dishes actually eaten by the meal object; and tracking the daily nutrient intake of the meal object and evaluating whether the eating habits of the meal object are healthy.

This invention discloses an intelligent school canteen nutrition meal planning system, belonging to the field of smart catering technology. It includes a food data acquisition module, a spectral nutrition mapping modeling module, a nutrition assessment module, and a nutrition meal planning module. This invention employs a food spectral nutrition modeling method based on continuous recipe sampling and probability distribution mapping to achieve comprehensive modeling of multiple possible food preparation states and establish a distributed correlation between spectral information and nutritional components. It uses a nutrition assessment method based on visual spectral collaborative modeling and cross-modal consistency constraints to obtain stable and realistic nutrition assessment results in complex meal-taking scenarios. By collecting multi-dimensional information during the food-taking process and establishing nutritional correlations based on possible changes during food preparation, it achieves a stable estimate of actual nutrient intake, thereby realizing a shift from "rough meal planning" to "precise nutrition management" and improving the nutritional service level of school canteens.

The application discloses a kind of based on diet inflammation index gestational diabetes mellitus blood sugar management method, comprising the following steps: S1: input pregnant woman information;Obtain the personalized information of pregnant woman, including: gestational age, pre-pregnancy / current weight, blood sugar risk level, dietary intake frequency, food intake, diet inflammation index initial score;S2: calculate diet inflammation index;Calculate nutrient intake, standardization processing, inflammation weight calculation, calculation;S3: predict blood sugar risk through blood sugar risk prediction module, output risk level;S4: generate diet program, three meals structure, food combination and heat distribution through individualized diet intervention module;S5: monitor blood sugar, adjust menu according to blood sugar change.Can combine carbohydrate and inflammation, establish diet inflammation blood sugar management new mode, realize accurate management.

The application discloses a kind of nutrition with quantity recipe and nutrition analysis method and system of campus student meal. The method comprises: establishing "recipe-set meal-dish-raw material" four-level recipe data model and "raw material-commodity" mapping model, and built-in 《WS / T554-2017 student meal nutrition standard》And food nutrition database;User is based on week view Configuration daily meal set meal and dish, and set estimated number of diners;System is based on dish raw material consumption, real-time cascade calculation dish, set meal and corresponding meal nutrient content, and automatically check whether it conforms to the nutrition standard of the age and gender of the meal student. At the same time, according to the number of diners, the total consumption of each raw material required is automatically summarized and calculated, and is converted into estimated purchase quantity in units of grams, jin, kilograms;Finally, daily / weekly nutrition analysis report covering five dimensions of food category intake, nutrient intake, three meals energy proportion, energy source distribution and protein source distribution is automatically generated. The application realizes the precision, dynamic and automation of student meal nutrition catering, significantly improves the scientificity of recipe compilation and the accuracy of procurement plan.

This invention provides intraluminal devices and methods that can be used for the treatment of health conditions, including obesity and diabetes. [Solution] The method and system reduce weight or control diabetes by decreasing an individual's calorie absorption. For example, obesity and diabetes are treated by regulating the duodenal mucosa using electroporation. Furthermore, a portion of the digestive tract is bypassed to reduce nutrient intake.

The present application relates to the field of artificial intelligence and intelligent health data processing technology, especially to a student nutrition balance monitoring and personalized intervention system based on multi-source data fusion, comprising: a multi-source heterogeneous perception acquisition module, which acquires the dietary images, continuous sensing signals and regular physical examination archives of a target object within a preset time period, and generates an original physiological and behavioral data set; a feature level fusion extraction module, which extracts the nutrition intake, energy consumption and body state index of the target object based on the original physiological and behavioral data set, and calculates the historical index change rate of the body state index. In the present application, by constructing a state prediction model, the traditional responsive monitoring is upgraded to a predictive closed-loop control, the time series model is used to predict the future development trajectory, the adaptive baseline is calculated combined with individual differences, and the early warning parameters are dynamically generated through derivative comparison, which effectively removes the index growth caused by natural growth and reduces the evaluation error caused by a single threshold.