Infectious disease transmission prediction system and device fusing spatio-temporal information

A spread prediction and infectious disease technology, applied in the field of infectious disease spread prediction systems and devices, to achieve high prediction accuracy, convenient epidemic control, and good adaptability

Active Publication Date: 2021-08-27
BEIHANG UNIV
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Problems solved by technology

[0005] As mentioned above, there is still room for optimization in the current common prediction methods of epidemic trends

Method used

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  • Infectious disease transmission prediction system and device fusing spatio-temporal information
  • Infectious disease transmission prediction system and device fusing spatio-temporal information
  • Infectious disease transmission prediction system and device fusing spatio-temporal information

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Embodiment Construction

[0036] The following is a preferred embodiment of the present invention and the technical solutions of the present invention are further described in conjunction with the accompanying drawings, but the present invention is not limited to this embodiment.

[0037] The present invention proposes an infectious disease propagation prediction system that integrates spatiotemporal information. The system is divided into a data collection unit, which is used to collect time series data, epidemic data and spatial relations in different regions. The adjacency matrix; the correlation analysis unit, which uses In analyzing the association between various time series data and epidemic data in different regions in the collected data, time series data with high correlation are obtained; the linear self-attention mechanism unit combines the epidemic data, the correlation Time series data with high reliability and the adjacency matrix are used as input data. This unit will learn the internal r...

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Abstract

The invention discloses an infectious disease transmission prediction system fusing spatio-temporal information and a device applying the system through a method in the field of artificial intelligence. A data collection unit is designed to collect time-related sequence data of different regions, epidemic situation data and an adjacent matrix formed by a spatial relationship, and a correlation analysis unit is used to analyze the correlation between the time sequence data and the epidemic situation data; the data is inputted into an infectious disease transmission prediction model applying a complex network method to form a prediction result; and epidemic situation risks of different regions are rated according to the prediction result, and the prediction result and a rating result are taken as system output results. The system can obtain more accurate epidemic situation prediction results of different regions on the basis of obtaining data strongly related to epidemic situation data and dynamic space connection of different regions.

Description

technical field [0001] The invention relates to the field of multivariate time-space sequence prediction, in particular to a system and device for predicting the spread of infectious diseases that integrate time-space information. Background technique [0002] For the prevention and control of infectious diseases, accurately predicting the trend of the epidemic has guiding significance for how to allocate medical resources and how to adjust epidemic prevention and control policies. [0003] At present, there are two common methods for predicting the trend of an infectious disease epidemic in a certain place. The first category is mathematical model methods, such as SI, SIR, SIRS, SEIR, etc. This type of method establishes the differential equation relationship between different types of people (such as susceptible, exposed, infected, recovered, etc.), and uses the data before the epidemic to determine the optimal solution of each parameter in the differential equation, ther...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80G16H50/30G06N3/04G06N3/08
CPCG16H50/80G16H50/30G06N3/04G06N3/084
Inventor 李建欣周号益张帅彭杰奇于金泽林俊安
Owner BEIHANG UNIV
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