Construction of chronic disease risk assessment hyperbolic model and disease predication system applying same

Abstract

The invention discloses construction of a chronic disease risk assessment hyperbolic model and a disease predication system applying the chronic disease risk assessment hyperbolic model. A Shandong multi-center health management longitudinal observation queue is constructed according to longitudinal health management data of more than 20 health management centers in Shandong province to study the actions of heredity, environment, individual life style, health intervention factors and the like on the processes of outbreak, development and lapse of a major chronic disease, the risk assessment hyperbolic model suitable for various chronic diseases for health examination people of Shandong province and the disease predication system are established, and the scientific evidences are provided for the health intervention of the chronic diseases.

Description

technical field [0001] The invention relates to health management based on medical big data, in particular to the construction of a chronic disease risk assessment hyperbolic model and a disease prediction system using the model. Background technique [0002] With the rapid development of the economy, people's pace of life has also been significantly accelerated, and a series of unhealthy lifestyles have followed, which has led to the incidence, prevalence and mortality of chronic diseases such as cardiovascular and cerebrovascular diseases, diabetes and malignant tumors. continuously rising. Chronic diseases are a large class of multifactorial diseases affected by environmental factors and genetic factors, and are the result of the combined effects of multiple risk factors. The onset of chronic diseases is hidden, the incubation period is long, and the disease progresses rapidly. Many patients are difficult to detect and treat in time. In addition, since the etiology and ...

AI Technical Summary

Problems solved by technology

However, at present, various model risk assessment methods have their own characteristics. Different assessment models, especially the final assessment, each have their own evaluation criteria. The risk quantification levels and assessment methods are also diversified, making it difficult for users to choose; moreover, there are many disease risk assessment models. The risk is indicated by the risk level (or total risk score), incidence probability, etc., and there is a lack of corresponding reference objects. For assessment users, it is often difficult to know the risk or accurately grasp their own risk; in addition, the benchmark in disease risk assessment Risk (such as the average risk of illness) and low risk thresholds are often fixed values ​​(taking the mean of all included data), which makes the user's risk assessment inaccurate

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