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132 results about "Gestational diabetes" patented technology

A condition in which women develop diabetes during pregnancy.

Special clinical nutrient composition for gestational diabetes and preparation method of nutrient composition

The invention relates to a special clinical nutrient composition for gestational diabetes and a preparation method of the nutrient composition. The composition comprises 20-35 parts of protein, 8-15 parts of fat, 25-40 parts of carbohydrate, 3-8 parts of dietary fiber, 0.6-1.2 parts of macroelements, 0.01-0.03 parts of microelements, 0.005-0.015 parts of fat-soluble vitamins, 0.08-0.2 parts of water-soluble vitamins, 0.05-0.6 parts of dietary essence, 0.5-4 parts of medicinal and edible components, 0.1-1 part of natural plant compounds and 0.1-0.4 parts of new resource food, wherein the medicinal and edible components are selected from at least one of Chinese yams, black sesame, radix puerariae, rhizoma polygonate, folium mori, fructus lycii, radix platycodonis and lilies; powder is prepared from the components in advance, and grease powder is prepared from fat with a microencapsulating technology. Through sieving and proportioning of the components, the nutrient composition can provide comprehensive nutrition for patients suffering from gestational diabetes, and digestion and absorption are facilitated; besides, the components with the blood glucose reducing function are added to assist in reducing the blood glucose level of the gestational diabetes and the disease risk, and growth demands and normal development of fetuses are guaranteed.
Owner:上海奥医生物医药科技有限公司

System and method for predicting gestational diabetes mellitus

The invention discloses a system and a method for predicting gestational diabetes mellitus, and relates to gestational diabetes mellitus. The system comprises: a data acquisition module for acquiringclinical indexes and clinical diagnosis results; a first index extraction module used for extracting and obtaining associated clinical indexes; a second index extraction module used for randomly combining the associated clinical indexes and calculating a combination with the highest correlation coefficient as an effective clinical index; a training module comprising a logistic regression model, asupport vector machine model, a K nearest neighbor classification model and a deep neural network model which are obtained through training according to effective clinical indexes; and a prediction module used for respectively inputting the effective clinical indexes of a pregnant woman to be predicted into the four models to obtain corresponding prediction results, and predicting the prediction results to obtain the onset risk of the pregnant woman to be predicted. The system and the method have the following beneficial effect that a pregnant woman can conveniently take preventive or interventional measures in advance by predicting the onset risk of gestational diabetes mellitus.
Owner:THE INT PEACE MATERNITY & CHILD HEALTH HOSPITAL OF CHINA WELFARE INST

Gestational diabetes mellitus screening method based on machine learning and physical examination data

The invention provides a gestational diabetes mellitus screening method based on machine learning and physical examination data, and the method is applied in the technical field of disease screening.The method includes the following steps that first physical examination data is acquired and pretreated to obtain test samples; a target model obtained by the gestational diabetes mellitus screening method based on machine learning and physical examination data serves as a training mode for training the obtained test samples and outputting a predict result, when the predict result shows 1, it means that a pregnant suffers from gestational diabetes mellitus, and when the predict result is 0, it means that the pregnant does not suffer from gestational diabetes mellitus. According to the embodiment, a gestational diabetes mellitus screening model suitable for practical application scenarios is constructed via the LightGBM algorithm based technology and the characteristics of health data. Themodel can predict whether the pregnant suffers from gestational diabetes mellitus according to the genetic data and physical examination indexes of the pregnant, thus assisting doctors in diagnosis and treatment, and provides solutions for intelligent medical treatment. The purpose of improving the utilization rate of public medical resources is achieved.
Owner:SHANGHAI MARITIME UNIVERSITY
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