New crown epidemic situation comprehensive evaluation method based on classification regression model

Abstract

The invention provides a new crown epidemic situation comprehensive evaluation method based on a classification regression model. The method specifically comprises the following steps: P1, obtaining feature information influencing epidemic situation factors; p2, constructing a classifier to classify the influence factors; p3, fitting a regression model between the influence factors and the severity of the epidemic situation; and P4, calculating factor values of all levels, weight coefficients and epidemic situation risk coefficients, and analyzing important factors influencing the epidemic situation. The computer technology of artificial intelligence and big data analysis is comprehensively utilized, the classification regression model of machine learning is dynamically established, through multiple times of adjustment of the fitting function and the floating module, evaluation of various levels of influence factors on epidemic situation risks is optimized, main and key aspects influencing epidemic situations in a target area can be analyzed, effective warning and guidance are provided for prevention and control of epidemic situations, effective and positive influences are providedfor life, economy and related aspects of people in a target area from optimization of macroscopic regulation and refinement of microcosmic prevention and control, and the effect of epidemic situationprevention and control work is greatly improved.

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 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 200...

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

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