Research on PAMGCN based recommendation model for Chinese medicine

Rong Tang; Ma Ling; Yuxin Yang; Tian-qing Yang

doi:10.1117/12.2671454

28 April 2023 Research on PAMGCN based recommendation model for Chinese medicine

Rong Tang, Ma Ling, Yuxin Yang, Tian-qing Yang

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126104V (2023) https://doi.org/10.1117/12.2671454
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

We propose a PAMGCN model, which predicts reasonable prescriptions of ancient Chinese medicine. It is used in TCM knowledge graph, according to symptoms described to recommendation a reasonable prescription of traditional Chinese medicine. In the PAMGCN model, we first use multi-GCN to extract patient features, then through the perceptual attention mechanism, to emphasize the influence of patient characteristics on diagnosis and prescription in the model. In the experiment, SMGCN, PMGCN and our model were compared. Our model improved the accuracy by approximately 15.95%.

Citation Download Citation

Rong Tang, Ma Ling, Yuxin Yang, and Tian-qing Yang "Research on PAMGCN based recommendation model for Chinese medicine", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126104V (28 April 2023); https://doi.org/10.1117/12.2671454

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