Individual diabetes mellitus prediction model

Abstract

The invention discloses an individual diabetes mellitus prediction model which comprises the following contents of, firstly, recording information of a tested object per se; secondly, converting acquired information to model access data; thirdly, substituting a calculation system according to a model information conversion result; and fourthly, calculating the morbidity probability, and judging disease risks. The individual diabetes mellitus prediction model can well distinguish a diabetes mellitus high risk population, carry out life style interference on the high risk population as early as possible, better prevent or delay occurrence of diabetes mellitus, and has large public hygienics significance and a great economic value. Therefore, the invention aims to establish a diabetes mellitus individual disease risk prediction model which is efficiently suitable for Chinese populations, and for communities, outpatient departments and even residents, diabetes mellitus disease risks of an individual in future n years can be obtained by filling relative information according to needed danger factor information.

Description

technical field [0001] The invention relates to an individual level diabetes prediction model, which belongs to the fields of preventive medicine and medicine. Background technique [0002] Diabetes (diabetes) is caused by various pathogenic factors such as genetic factors, obesity, microbial infection and its toxins, and mental factors acting on the body to cause hypofunction of pancreatic islets and insulin resistance (Insulin Resistance, IR). A series of metabolic disorder syndromes such as fat, water and electrolytes are clinically characterized by hyperglycemia, and typical cases may show polyuria, polydipsia, polyphagia, weight loss, etc., that is, "three more and one less" symptoms. Clinically, it can be divided into type 1 and type 2. Type 2 diabetes accounts for about 95% of diabetic patients. Among them, type 1 diabetes mostly occurs in adolescents, who rely on exogenous insulin supplementation to maintain life due to lack of insulin secretion; type 2 diabetes mo...

AI Technical Summary

Problems solved by technology

So far, mainland China has not established a diabetes risk assessment model suitable for middle-aged people

There are many risk prediction models for diabetes reported abroad, but they are all based on cohort research data and established through risk models such as logistic or cox ratio. Given that there is no data in China that can be used to establish an individual-level prediction model for diabetes, it is very necessary to have one. Diabetes prediction model suitable for Chinese population characteristics

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