Sudden respiratory infectious disease risk prediction model for regional epidemic prevention and control

A risk prediction and airway technology, applied in the field of data analysis, can solve problems such as differences in the form of source data, and achieve the effect of improving processing capacity and performance, strong adaptability, and good data fusion

Pending Publication Date: 2021-09-07
重庆南鹏人工智能科技研究院有限公司 +2
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Problems solved by technology

[0003] The purpose of the present invention is to provide a risk prediction model of sudden respiratory infectious diseases for regional epidemic prevention and control, which is used to solve the multi-channel monitoring and early warning in the region, the combination of infectious disease monitoring system and monitoring system of other departments, and the risk prediction of sudden respiratory infectious diseases In the process, there are differences in the form of source data

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  • Sudden respiratory infectious disease risk prediction model for regional epidemic prevention and control

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Embodiment Construction

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is some embodiments of the present invention, but not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the implementation manners in the present invention, all other implement...

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Abstract

The invention discloses a sudden respiratory infectious disease risk prediction model for regional epidemic prevention and control. The model comprises the following steps: S1, obtaining original data; s2, carrying out data management; s3, establishing a knowledge base; s4, carrying out decision-making layer fusion; and S5, establishing a risk prediction model. The invention has the following beneficial effects: (1) the system has advantages in multi-dimensional input data and output data processing; (2) any complex nonlinear problem can be processed, so that the nonlinear mapping capability is high; (3) information or data can be processed in parallel, and the data processing capability and performance are improved; (4) the self-adaptability is relatively high; and (5) the data fusion aspect is good.

Description

technical field [0001] The invention belongs to the technical field of data analysis, and in particular relates to a risk prediction model for sudden respiratory infectious diseases for regional epidemic prevention and control. Background technique [0002] In the new century, new (sudden) major infectious diseases (such as SARS in 2003, A / H1N1 influenza in 2009, and MERS in 2012) continue to emerge, and the ongoing new type of coronavirus pneumonia (COVID-19) has given society a normal life. , People's lives and health have had a major impact. Based on multi-source heterogeneous data, it is very important to predict the development trend of the epidemic early and quickly, especially to predict the risk of infectious disease transmission, infection rate, fatality rate, time to peak (inflection point), final infection scale, etc. significance. Algorithmic models and data analysis have played a very important role in helping the prediction, early warning and risk analysis of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06F16/36G06N3/04G06N3/08G16H40/20G16H50/80
CPCG16H50/80G16H50/70G16H40/20G06F16/367G06N3/08G06N3/045
Inventor 叶方全李昌勇
Owner 重庆南鹏人工智能科技研究院有限公司
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