Infectious disease prediction method and apparatus, electronic device and computer readable medium

Abstract

The invention provides an infectious disease prediction method and apparatus, an electronic device and a computer readable medium, and relates to the technical field of computer application. The infectious disease prediction method includes the steps: obtaining historical occurrence data of infectious diseases; extracting spatial features of historical occurrence data through a convolutional neural network; extracting first time sequence features of the historical occurrence data through a cyclic neural network; and fusing the spatial features and the first time sequence features to obtain temporal and spatial features of the historical occurrence data; and performing risk prediction on infectious diseases based on the temporal and spatial features. The infectious disease prediction methodand apparatus utilize the prediction network model composed of the convolutional neural network and the cyclic neural network to deeply mine the temporal and spatial features of the infectious disease data, thereby improving the accuracy of infectious disease prediction.

Description

technical field [0001] The present invention relates to the technical field of computer applications, in particular to an infectious disease prediction method, device, electronic equipment and computer readable medium. Background technique [0002] In recent years, diseases transmitted through the respiratory tract (referred to as infectious diseases) have attracted more and more attention and attention from researchers and medical workers around the world, especially in several countries such as SARS, H1N1 influenza, and human infection with highly pathogenic avian influenza. After the emergence of the second large-scale infectious disease outbreak, its high pathogenicity and high fatality rate have caused huge social burdens and economic losses to many regions and countries around the world. Therefore, the risk prediction of infectious diseases is very necessary. [0003] At present, traditional machine learning methods are usually used for modeling of infectious disease ...

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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide an infectious disease prediction method, device, electronic equipment and computer-readable medium, so as to alleviate the shortcomings of existing traditional machine learning models in describing data spatio-temporal coupling and processing spatio-temporal data fusion, Technical issues that lead to inaccurate forecasts

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