33 results about "Diabetes risk" patented technology

Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.

The invention provides a gestation diabetes risk monitoring system based on dynamic physics and physical and chemical factors and belongs to the field of medical instruments in the department of obstetrics and gynecology. The gestation diabetes risk monitoring system is characterized by comprising a computer, a toggle switch array, a resistor array and a gestation diabetes pathogenesis risk LED alarming module; a pregnant women information input module of dynamic physics check and physical and chemical factors, a logic switch array module of pregnant women gestation diabetes pathogenesis risk factors and logic regression value computation module of pregnant women gestation diabetes pathogenesis risk are arranged in the computer; a voltage comparison module and an LED array are arranged in the gestation diabetes pathogenesis risk LED alarming module. According to the invention, the logic switch value is utilized to control the make-and-break state of the toggle switch; a risk factor value in the logic regression manner is utilized to control the resistance value of the resistor array, so as to indicate the relative risk degree; the resistance value of the resistor array is utilized to control a voltage comparator, so as to output electrical level and light the LED alarm. According to the invention, the risk degree of the dynamic gestation diabetes can be comprehensively evaluated from multivariate physical and chemical factors and the real-time alarm can be conducted.

The invention provides a diabetes risk assessment system based on obesity, including a collection platform, a service platform and a user database; the user database includes a basic information database, a blood sample information database, a hyperglycemic blood sample database, a diet database and an exercise database; the collection platform includes The software collection module and the blood sample collection module are connected by communication between the software collection module and the blood sample collection module; the software collection module can collect basic information, dietary intake information and exercise information, and store the basic information in the basic information database, and store the dietary intake information It is stored in the diet library, and the exercise information is stored in the exercise library; the blood sample collection module is used to collect blood sample information. The invention also provides an evaluation method of the obesity-based diabetes risk evaluation system. The evaluation system and evaluation method based on the present invention can remind the user's blood sugar status in time, enable the user to obtain early intervention or treatment advice, and effectively avoid health problems caused by untimely medical treatment.

The invention discloses a construction method and a construction system for a type 2 diabetes mellitus risk assessment model. The method comprises the following steps that: (1) selecting an SNP (Single Nucleotide Polymorphisms) locus related to type 2 diabetes mellitus; (2) calculating the risk degree, i.e., an OR (Odds Ratio) value, of the SNP locus; (3) calculating the frequency of the SNP locus in an East Asia population; (4) calculating the epidemiology prevalence rate of the type 2 diabetes mellitus; and (5) according to a Bayesian algorithm and a Hardy-Weinberg equilibrium principle, constructing the risk assessment model. The model of the invention calculates the mathematical expectation value and the OR value of the risk allele amount of the population, the epidemiology prevalence rate of the type 2 diabetes mellitus is combined to obtain the average prevalence rate and the confidence interval of a group on the basis of inheritance, a new construction method for the type 2 diabetes mellitus risk assessment model is provided, so that the prevalence risk of the type 2 diabetes mellitus more approaches to a true situation, and a result is more scientific and reasonable. By use of the method, high-risk population screening accuracy is improved, the prevalence rate of the type 2 diabetes mellitus is expected to be lowered, and a great quantity of expenditures can be saved for the nation and society so as to benefit the nation and the people.

The present invention belongs to the field of data processing technology, which involves a method of early diabetic risk prediction based on deep PCA transformation, including the following steps: input early diabetic data sets; data pre -processing, calculating the number of Pilson phase relationships, filtering the redundant characteristics, obtaining the characteristicsEnter data; through the depth PCA extract input data feature collection, as the input of the training logic regression classifier; based on the characteristic set training logic regression classifiers, the judgment of the sample of the case for assessment; enter the new case sample information, output the sampleWhether the results of diabetes are judged and corresponding confidence.The invention realizes the effective extraction of the two -value information of case samples based on the characteristic transformation method based on the deep PCA, and at the same time establish a logical regression classifier to achieve the confidence and quantitative indicator of the confidence of the disease sample and output results, which is convenient and effective to achieve existing existing existing existing existingEarly auxiliary diagnosis of diabetic cases and discovering the condition in time.