New coronal pneumonia screening method and screening system

Abstract

The invention discloses a new coronal pneumonia screening method and screening system, and the method comprises the following steps: S1, setting an observation period for a closely connected object which is in close contact with a new coronal pneumonia definite patient, and continuously observing the pulmonary focus characterization data of the closely connected object in the observation period to determine the disease trend of the closely connected object, selecting a closely connected object with a continuously increased disease trend and calibrating the closely connected object as a suspected patient; and S2, constructing a disease classifier of the new coronal pneumonia by the system, inputting the lung focus characterization data of the suspected patients into the disease classifier to determine disease categories of the suspected patients, and selecting the suspected patients of which the disease categories are the new coronal pneumonia from the suspected patients to calibrate the suspected patients as confirmed patients. According to the invention, differential observation is realized, redundant observation of closely connected objects with low close contact degree is removed, the observation burden is reduced, and the troubleshooting efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of COVID-19 screening, in particular to a screening method and system for COVID-19. Background technique [0002] In the early screening of the new type of coronavirus pneumonia (COVID-19), at present, it is mainly detected by means of kits, but its detection rate is low. In order to improve the detection rate of early screening of COVID-19, some other methods need to be adopted Auxiliary methods for judgment, such as CT image judgment methods, etc. [0003] There are some detection methods of lung lesion tissue in the prior art. For example, the patent document of publication number CN110599448A discloses a lung lesion tissue detection system based on MaskScoring R-CNN network migration learning, which inputs the lung CT to be detected For the image, the network outputs the recognized image, frames and masks the lesion tissue identified by the mask, and marks the lesion category. However, during its train...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a new coronary pneumonia screening method and screening system to solve the problem of indiscriminate observation of all close contacts in the prior art, which leads to the difference between lightly exposed contacts and heavily exposed contacts. With the same observation duration, since the infection rate of contacts with light exposure is low, if the same observation duration is used for contacts with heavy exposure, there will be a large number of redundant observations, which will increase the burden of observation and reduce the efficiency of investigation technical issues

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