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Infection trend prediction method and device, equipment and storage medium

A trend prediction and infectious disease technology, applied in the field of artificial intelligence, can solve problems such as limited prediction accuracy and achieve accurate prediction results

Active Publication Date: 2021-11-16
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]Because the infection process of infectious diseases is affected by multiple factors, the prediction accuracy of the above-mentioned infectious disease prediction model SIR is limited

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  • Infection trend prediction method and device, equipment and storage medium
  • Infection trend prediction method and device, equipment and storage medium
  • Infection trend prediction method and device, equipment and storage medium

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Embodiment Construction

[0054] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0055]It should be understood that "several" mentioned herein refers to one or more, and "multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three types of relationships, for example, A and / or B may indicate: A exists alone, A and B exist simultaneously, and B exists independently. The character " / " genera...

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Abstract

The invention discloses an infection trend prediction method and device, equipment and a storage medium, and belongs to the field of artificial intelligence. The method comprises the following steps: acquiring historical infection data of infectious diseases; calling at least one slave prediction model to perform prediction based on the historical infection data to obtain at least one prediction result of the target time period; calling a main prediction model to predict at least one prediction result and the historical infection data as input features to obtain a fusion prediction result; and outputting a fusion prediction result of the infection trend in the target time period. According to the invention, the prediction precision of the infection trend can be improved.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence, and in particular to a method, device, device, and storage medium for predicting an infection trend. Background technique [0002] Respiratory infectious diseases such as influenza and new crown are the focus of monitoring by the epidemic prevention and control department. [0003] In related technologies, the epidemic prevention and control department monitors the number of infected people of respiratory infectious diseases through manual, telephone, outpatient registration and other methods. After obtaining the daily number of infected people, the infectious disease prediction model SIR is used to predict the trend of infection. There are three main variables in the infectious disease prediction model SIR: susceptible population S, infected population I and recovered population R. [0004] Since the infection process of infectious diseases is affected by mult...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80
CPCG16H50/80Y02A90/10
Inventor 林民龙赵瑞辉
Owner TENCENT TECH (SHENZHEN) CO LTD