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Illness risk value prediction method and electronic equipment

A technology of disease risk and prediction method, which is applied in the field of mathematical modeling and can solve problems such as inaccurate prediction and calculation results of disease probability

Inactive Publication Date: 2018-07-06
NANTONG UNIVERSITY
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Problems solved by technology

[0007] In view of the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a disease risk value prediction method and electronic equipment, which are applied to the prediction of hypertension, aiming to solve the problem of mathematical prediction models in the prior art for the prediction and calculation of disease probability. The problem with inaccurate results

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  • Illness risk value prediction method and electronic equipment
  • Illness risk value prediction method and electronic equipment
  • Illness risk value prediction method and electronic equipment

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[0060] The invention provides a method for predicting disease risk value and electronic equipment. In order to make the objectives, technical solutions and effects of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0061] figure 1 It is a method flowchart of a disease risk value prediction method according to a specific embodiment of the present invention. In this embodiment, the method for predicting disease risk value can be used as a disease risk dynamic early warning model and applied to the prediction of the probability of hypertension. Of course, the disease risk value prediction method can also adjust the input data and apply it to any other suitable field or problem risk value prediction calculat...

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Abstract

The invention discloses an illness risk value prediction method and electronic equipment and is applied to hypertension analysis. The method comprises steps that static data and dynamic data of usersare acquired; the acquired static data and the dynamic data of the users are pre-processed; a dynamic early warning model is constructed through logistic regression and a dynamic vector machine; according to the pre-processed data, the dynamic early warning model is utilized to classify the users; according to classification of the users, corresponding risk values are calculated; the risk values stand for the hypertension risk of the users. The method is advantaged in that a dual-data system is employed, through improved logistic regression and the dynamic vector machine, the chronic illness risk dynamic hybrid early warning model is established, and the accurate illness risk probability value is provided.

Description

Technical field [0001] The invention relates to the technical field of mathematical modeling, in particular to a method for predicting disease risk value and electronic equipment. Background technique [0002] According to a data released by officials of the National Health and Family Planning Commission, as of the end of 2015, the number of deaths caused by chronic diseases in the country reached 88.38% of all deaths. Chronic disease has become China's top health threat. Many studies have shown that chronic diseases are closely related to life habits, so it is also called "lifestyle diseases" or "lifestyle diseases." Therefore, collecting dynamic and static comprehensive health data to construct a dynamic early warning model of chronic disease risk is the trend of the times. [0003] After a large amount of literature research, the applicant discovered that the disease risk early warning model has attracted widespread attention from domestic and foreign researchers. The main me...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H50/20
Inventor 钱旦敏
Owner NANTONG UNIVERSITY
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