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A comprehensive evaluation method for the new crown epidemic based on a classification regression model

A regression model and comprehensive evaluation technology, applied in character and pattern recognition, epidemic warning systems, instruments, etc., can solve the problems of residents contracting diseases, the great impact of epidemic prevention and control, and the spread of viruses, and achieve the desired effect.

Active Publication Date: 2022-05-24
JILIN UNIV
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AI Technical Summary

Problems solved by technology

For example, if the prevention and control measures in individual areas are loose, and a large number of cases flow out, the virus will spread in a large area, which will bring great challenges to the epidemic prevention and control work of the surrounding countries / regions in the region, and even affect their economic development and normal life of residents.
If the density of confirmed cases in a certain area is high, causing the virus to attach to certain goods, these viruses may be imported into other areas through trade and transportation, causing local residents to become infected, which will have a great impact on the prevention and control of the epidemic.

Method used

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  • A comprehensive evaluation method for the new crown epidemic based on a classification regression model

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Embodiment Construction

[0129] The implementation of the present invention will be further described in detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0130] Example 1: The classification of levels and categories of influencing factors and their initialization process.

[0131] The influencing factors of the selected input evaluation model are: the number of total confirmed cases in the target country / region, the number of newly confirmed cases, the reserves of various medical supplies (for example: protective clothing, protective masks, disinfection equipment, ventilators, etc.), confirmed cases Age composition of cases, number of different types of doctors (different departments), number of nursing staff, number of population movements, number of volunteers participating in epidemic prevention and control, drug stockpiles, number of newly conf...

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Abstract

The present invention provides a comprehensive evaluation method for the new crown epidemic based on a classification regression model, specifically: P1, obtaining characteristic information of factors affecting the epidemic; P2, constructing a classifier to classify the influencing factors; P3, fitting the influencing factors and the severity of the epidemic The regression model among them; P4, calculate the factor values, weight coefficients and epidemic risk coefficients at all levels, and analyze the important factors affecting the epidemic. The present invention comprehensively utilizes the computer technology of artificial intelligence and big data analysis, dynamically establishes the classification and regression model of machine learning, and optimizes the assessment of the epidemic risk of the influencing factors at all levels through multiple adjustments of the fitting function and the floating module, and can analyze the Effectively warn and guide the prevention and control of the epidemic in the main and key aspects that affect the epidemic situation in the target area, and give effective and positive influence on the people's life, economy and related aspects in the target area from the perspective of optimizing macro-control and refining micro-control , greatly improving the effectiveness of epidemic prevention and control.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and data analysis, and in particular, to a method for comprehensive evaluation of the novel coronavirus epidemic based on a classification and regression model. [0002] technical background [0003] On January 12, 2020, the World Health Organization officially named it 2019-nCoV. The 2019 novel coronavirus is characterized by the general susceptibility of the population, which can cause multi-system damage to the whole body of infected patients. Among them, middle-aged and elderly people with a history of chronic diseases are more affected. The epidemic has become a global public health security challenge. [0004] The new crown pneumonia is raging, spreading at an alarming rate, and it is very difficult to prevent and control, which has caused an unprecedented impact on the global economy and people's normal life. It is estimated that its impact far exceeds the 2003 SARS epidemic and the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/80G16H50/30G06K9/62
CPCG16H50/80G16H50/30G06F18/2411
Inventor 刘晓夏陈海鹏
Owner JILIN UNIV
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