Diagnosis System of Mycoplasma Pneumonia based on Multimodal Hypergraph Neural Network
Since September last year, there has been an epidemic trend of mycoplasma pneumonia in China, which is in urgent need of effective and rapid diagnosis. To solve this public health problem, a multimodal visual hypergraph neural network diagnosis system for mycoplasma pneumonia is proposed. Firstly, a cooperative relationship was established with the Affiliated Hospital of North China University of Science and Technology to collect the lung CT and biochemical data of patients, and then the collected data was denoised and enhanced by VEVE-GAN technology. Finally, based on multi-modal data, a visual hypergraph neural network was built, which aims to learn the high-level interaction between various biological and clinical factors leading to mycoplasma pneumonia, so as to achieve accurate diagnosis of mycoplasma pneumonia.
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