Mycoplasma Pneumonia Diagnosis Algorithm Based on Multimodal Data Fusion

Mengxiang Xia; Xiaoyu Pi; Yufan Tong; Shunning Wang; Mengya Wang; Qinyu Zhang

doi:10.6911/WSRJ.202505_11(5).0019

Mycoplasma Pneumonia Diagnosis Algorithm Based on Multimodal Data Fusion

Mengxiang Xia, Xiaoyu Pi, Yufan Tong, Shunning Wang, Mengya Wang, Qinyu Zhang

World Scientific Research Journal, (2025), Vol.11, No.5, pp.162-170

Published: April 26, 2025

DOI: 10.6911/WSRJ.202505_11(5).0019

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Abstract

The incidence of Mycoplasma Pneumonia (MP) has been on the rise. Traditional diagnostic methods have limitations, and existing machine - learning - based diagnostic studies also have deficiencies. In this study, a diagnostic system for Mycoplasma Pneumonia based on a multimodal visual hypergraph neural network (Trans - HGNN) was proposed. Firstly, basic processing such as denoising and standardization, as well as optimization using the VAE - GAN algorithm, were carried out on lung CT images and biochemical indicator data. Then, a hypergraph was constructed to fuse multimodal data, the VHNNs architecture was designed, and the Transformer algorithm was applied. Experiments show that the Trans - HGNN model performs best in terms of accuracy, recall rate, and F1 - score, reaching 88.69%, 0.8569, and 0.9229 respectively. The training process has good convergence and strong generalization ability. Although there may be a slight overfitting problem, it still provides reliable technical support for the diagnosis of Mycoplasma Pneumonia and has broad application prospects in the field of medical diagnosis.

Keywords: Mycoplasma Pneumonia; multimodal data fusion; hypergraph neural network; Transformer algorithm; diagnostic model.

APA Citation: Mengxiang Xia, Xiaoyu Pi, Yufan Tong, Shunning Wang, Mengya Wang, Qinyu Zhang (2025). Mycoplasma Pneumonia Diagnosis Algorithm Based on Multimodal Data Fusion. World Scientific Research Journal, 11(5), 162-170. https://doi.org/10.6911/WSRJ.202505_11(5).0019

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