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

A risk assessment and chronic disease technology, applied in special data processing applications, instruments, calculations, etc., can solve the problems of lack of accuracy in risk assessment, lack of reference objects, and difficult users, and achieve the effect of facilitating health management and accurate risk assessment

Inactive Publication Date: 2017-09-12
SHANDONG UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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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 s

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Example 1, Shandong multi-center health management longitudinal observation cohort

[0055] This invention relies on the longitudinal health management data of more than 20 health management centers in Shandong Province to construct a multi-center health management longitudinal observation queue in Shandong Province, and explores the factors of genetics, environment, personal lifestyle, and health intervention in the occurrence, development, and outcome of major chronic diseases. To establish a risk assessment model for various chronic diseases applicable to the healthy physical examination population in Shandong Province, and provide a scientific basis for health intervention of chronic diseases.

[0056] 1.1 Source of data: The cohort data of this study comes from the Shandong multi-center health management longitudinal observation cohort. The individuals in the cohort were those who underwent physical examination at the health examination center in the multi-center he...

Embodiment 2

[0079] Example 2. Risk Prediction of Metabolic Syndrome Based on Health Management Population

[0080] 1. Materials and methods 1.1 Research data: data source The cohort data of this study comes from the Shandong multi-center health management longitudinal observation big data (Shandong multi-center health management longitudinal observation cohort). Inclusion and Exclusion Criteria This study is based on the large data cohort of Shandong multi-center health management longitudinal observation. Those who do not suffer from metabolic syndrome, have at least two records, and have no missing indicators related to disease diagnosis, and are between 20 and 80 years old are selected for the study. The cohort population, patients with a follow-up time of less than one month were excluded from the study.

[0081] 1.2 Diagnostic criteria for metabolic syndrome The diagnostic criteria recommended by the Diabetes Society (CDS) of the Chinese Medical Association in 2004 were used for the ...

Embodiment 3

[0099] Example 3 Based on the 5-year risk prediction of cardiovascular and cerebrovascular events in patients with type 2 diabetes in the community

[0100] 1 Materials and methods

[0101]1.1 Data: Data source The training sample data used to build the model in this study comes from the chronic disease management system of the Huangdao District Center for Disease Control and Prevention in Qingdao. The system was launched in 2009, with community service centers as management units and community doctors and rural doctors as management implementers. As of July 2015, there were 20 community centers and 15,062 type 2 diabetes patients. The verification samples come from the "Shandong Multi-center Health Management Longitudinal Observation Large Database", patients with type 2 diabetes who have more than 2 physical examination records. Inclusion and exclusion criteria In order to prevent estimation bias caused by short follow-up time, the training samples of this study were diagno...

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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 ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 薛付忠季晓康肖鹏岳义虎杨洋陈亚飞申振伟阿力木·达依木李向一朱茜
Owner SHANDONG UNIV
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