Classification method based on multi-modal machine learning, online novel coronal pneumonia early warning model training method and early warning method

Abstract

The invention discloses a classification method based on multi-modal machine learning, an online novel coronal pneumonia early warning model training method and an early warning method. According to the invention, the classification of objects can be realized through the collection of various types of single data. In addition, a classifier is firstly used for classifying the single data, and thena neural network is used for further classifying the classification result of the single data, so that the model training duration is shorter, and the requirement on hardware performance is lower. Bymeans of the classification method, online early warning of the novel coronal pneumonia can be achieved, objects needing nucleic acid detection can be rapidly determined, it is guaranteed that suspected patients are detected, waste of detection resources is avoided, and a positive effect can be achieved in the prevention and treatment process of the novel coronal pneumonia.

Description

technical field [0001] The invention belongs to the field of machine learning combined with multimodality, and specifically relates to a classification method based on multimodal machine learning, an online new coronary pneumonia early warning model training method, and an early warning method. Background technique [0002] In the process of fighting the epidemic, nucleic acid testing takes a long time and testing resources are limited. Therefore, in order to save testing resources and improve the accuracy of testing, it is necessary to first determine which ones should be tested for nucleic acid. Existing methods usually judge whether nucleic acid testing is needed based on whether the subject has a fever. This judgment method considers too few factors and the accuracy of the judgment results is poor, resulting in a large number of suspected patients who need to be tested not being tested, and a large number of patients with other diseases occupy Valuable testing resource....

AI Technical Summary

Problems solved by technology

Existing methods usually judge whether nucleic acid testing is needed based on whether the subject has a fever. This judgment method considers too few factors and the accuracy of the judgment results is poor, resulting in a large number of suspected patients who need to be tested not being tested, and a large number of patients with other diseases occupy Valuable testing resource

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