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Deep learning-based epidemic prevention information processing method and epidemic prevention service system

An information processing method and deep learning technology, applied in medical informatics, informatics, machine learning, etc., can solve problems such as data information explosion

Active Publication Date: 2022-05-13
八爪鱼人工智能科技(常熟)有限公司
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Problems solved by technology

In the actual application process, the inventors found that with the continuous extension of the normal development time of the epidemic situation, the number and types of traffic regulation information collected in the epidemic prevention process are increasing, but the noise information mixed in these traffic regulation information is It is difficult to be identified accurately and reliably, which may lead to the explosion of data information in the later stage. Therefore, one of the current problems in digital epidemic prevention is how to improve the quality of noise analysis of flow transfer information

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  • Deep learning-based epidemic prevention information processing method and epidemic prevention service system
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  • Deep learning-based epidemic prevention information processing method and epidemic prevention service system

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Embodiment Construction

[0027] 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 examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0028] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.

[0029] The method embodiments provided by the embodiments of the present invention may be executed in an epidemic prevention service system, comp...

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Abstract

The invention provides a deep learning-based epidemic prevention information processing method and an epidemic prevention service system, and the method comprises the steps: collecting a to-be-processed personnel traffic scheduling statistical log of a target epidemic prevention traffic scheduling task in response to a noise processing request; on the basis that suspected confusion traffic scheduling information exists in the traffic scheduling statistical log of the to-be-processed personnel, determining a local traffic scheduling statistical content set pointed by the suspected confusion traffic scheduling information; and executing flow modulation statistical noise analysis of a plurality of flow modulation statistical noise types on the local flow modulation statistical content set pointed by the suspected confusion flow modulation information to obtain a flow modulation statistical noise analysis list of the suspected confusion flow modulation information. In this way, during flow modulation statistical noise analysis, analysis results of the suspected confusion flow modulation information relative to multiple flow modulation statistical noise types can be analyzed, so that the possibility of analysis omission of individual flow modulation statistical noise of the suspected confusion flow modulation information is reduced; therefore, the accuracy and the credibility of the flow modulation statistical noise analysis of the suspected confused flow modulation information can be improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for processing epidemic prevention information and an epidemic prevention service system based on deep learning. Background technique [0002] With the normal development of the epidemic situation, it has become one of the current work directions to deeply apply modern information technologies such as artificial intelligence to the research and judgment of the epidemic situation, the analysis of transmission paths, precise prevention and control, effective treatment and follow-up governance. Based on artificial intelligence technology, it can provide more accurate and effective scientific decision-making basis, improve the efficiency of consultation and diagnosis, and strengthen remote and online technical services for epidemic prevention and control. In the actual application process, the inventors found that with the continuous extension of the normal d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/80G06N20/00
CPCG16H50/80G06N20/00
Inventor 蒋天宏田凯孙凤英
Owner 八爪鱼人工智能科技(常熟)有限公司
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