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COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism

Yunlong Sun, Jingge Lian, Ze Teng, Ziyi Wei, Yi Tang, Liu Yang, Yajuan Gao, Tianfu Wang, Hongfeng Li, Meng Xu, Baiying Lei

2023Expert Systems with Applications12 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceArtificial intelligenceCoronavirus disease 2019 (COVID-19)TransformerMachine learningData miningPrincipal component analysisVisualizationPattern recognition (psychology)DiseaseInfectious disease (medical specialty)MedicinePhysicsPathologyVoltageQuantum mechanicsCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsMachine Learning in Healthcare
COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism | Litcius