Virus screening and epidemic prevention system and method based on neural network

A neural network and neural network model technology, applied in the field of virus screening and epidemic prevention systems based on neural networks, can solve the problems of lack of virus detection data storage and analysis, low timeliness, etc., achieve low cost, eliminate tension and anxiety, Addressing the effects of unclear infection rates

Pending Publication Date: 2020-08-11
吴刚
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the problems existing in the prior art that the reagent detection results depend on the subjective diagnosis of doctors, the timeliness is not high, and the data storage and analysis for virus detection are lacking, and provide a virus screening based on neural network With the epidemic prevention system and method, the reagent detection image uploaded by the user (patient) is received in real time, and the corresponding virus identification model is configured to identify the image, obtain the identification and detection result, and quickly send the data result to the user and the corresponding patient through data sharing. Medical service platform (Center for Disease Control, Hospital, etc.)

Method used

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  • Virus screening and epidemic prevention system and method based on neural network
  • Virus screening and epidemic prevention system and method based on neural network
  • Virus screening and epidemic prevention system and method based on neural network

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Embodiment 1

[0043] figure 1 Show a kind of virus screening and anti-epidemic method based on neural network of exemplary embodiment of the present invention, comprise: Step 1, obtain the specific virus colloidal gold antibody detection image data (also called virus reagent detection image);

[0044] Specifically, we set a front-end image acquisition module above the corresponding colloidal gold reagent test strip. This setting is similar to the existing blood glucose meter detection equipment, and there is an acquisition device inside, so that the control chip can directly receive the user's blood glucose. Test the results and analyze the results. The virus reagent detection image acquisition module includes: a macro camera, a main control chip, a bluetooth module, and a battery; The chip is respectively connected with the macro camera and the Bluetooth module, and is used to control the macro camera to collect the user's specific virus colloid gold antibody detection image data based o...

Embodiment 2

[0060] In a further embodiment of the present invention, we have conducted targeted research on the virus detection model for the current difficult novel coronavirus. The detection kit has three detection lines for the new coronary pneumonia screening kit, where the C line is the control line, T1, The two lines of T2 respectively represent the detection lines of IGM and IgG antibodies. The detection of colloidal gold is a dynamic process, and the detection is invalid beyond a certain period of time. The specific model identification process is as follows: firstly, the color of the control line c is relatively obvious, and the matching algorithm based on edge features is used to locate the c line. If the control line C cannot be found, the detection is invalid. The positions of the T1 and T2 lines can be inferred from the center position of the c-line. By judging the average color difference between the control line C, the test lines T1, T2 and the background of the reagent st...

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Abstract

The invention discloses a virus screening and epidemic prevention system and method based on a neural network. The method comprises the following steps: acquiring user information and specific anti-virus colloidal gold antibody detection image data acquired by a virus reagent detection kit; recognizing the image by using a trained virus classification screening neural network model to obtain a virus reagent detection and recognition result corresponding to the user; randomly auditing the obtained virus reagent detection and recognition result by an online doctor, and then sending the virus reagent detection and recognition result to the corresponding user and a medical service platform; and receiving remote guidance suggestions fed back by the medical service platform, and sending the remote guidance suggestions to the corresponding user. The epidemic prevention method provided by the invention is based on frontier biomedical research and a colloidal gold reagent, and the Internet-of-Things technology and big data are cooperatively used to construct a low-cost wide-coverage real-time disease detection and monitoring system for novel coronaviruses, remote disease detection and screening services are provided for patients, early screening and early diagnosis of diseases are realized and timely epidemic situation information is provided for a disease control center.

Description

technical field [0001] The invention relates to the technical field of Internet medical big data, in particular to a virus screening and epidemic prevention system and method based on a neural network. Background technique [0002] With the development of biomedical research, in order to speed up the detection of epidemic viruses, corresponding colloidal gold reagent monitoring strips have emerged. The emergence of colloidal gold reagents makes the detection of current epidemic viruses not only rely on the judgment of clinicians, medical equipment test results. Take the new coronavirus, which is a difficult problem in the world, as an example. The new coronavirus (2019-nCoV) is a new strain of coronavirus that is highly contagious and can cause fever, cough, difficulty breathing, and even death in the infected person. Screening for new coronavirus pneumonia generally requires comprehensive clinical symptoms, blood routine, CT examination or nucleic acid examination results ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/20G16H30/40G16H50/20G06N3/04G06N3/08
CPCG16H30/20G16H30/40G16H50/20G06N3/08G06N3/045
Inventor 吴刚
Owner 吴刚
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