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Exploration of Application Strategies of Graph Neural Networks in Field of Traditional Chinese Medicine Diagnosis and Treatment
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Shuya ZHANG1, Tao YANG1, 2, 3, Kongfa HU1, 3, 4
Chinese Archives of Traditional Chinese Medicine | 2025, 43(5) : 18 - 21
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Chinese Archives of Traditional Chinese Medicine | 2025, 43(5): 18-21
• Digital Traditional Chinese Medicine •
Exploration of Application Strategies of Graph Neural Networks in Field of Traditional Chinese Medicine Diagnosis and Treatment
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Shuya ZHANG1, Tao YANG1, 2, 3, Kongfa HU1, 3, 4
Affiliations
  • 1.School of Artificial Intelligence and Information Technology，Nanjing University of Chinese Medicine，Nanjing 210023，Jiangsu，China
  • 2.School of Information Management，Nanjing University，Nanjing 210023，Jiangsu，China
  • 3.Jiangsu Province Engineering Research Center of Traditional Chinese Medicine Intelligence Health Service，Nanjing 210023，Jiangsu，China
  • 4.Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor，Nanjing 210023，Jiangsu，China
Published: 2025-05-10 doi: 10.13193/j.issn.1673-7717.2025.05.004
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Graph neural networks are one of the frontier technologies in artificial intelligence，with the powerful ability to process graph-structured data. In the field of traditional Chinesemedicine diagnosis and treatment，syndrome differentiation and treatment involves complex syndrome inference，prescription compatibility，etc.，which manifest as complex relationships of“disease-syndrome-symptom-prescription-medicine”，showing significant graph structure characteristics. This paper analyzed the graph structure characteristics of traditional Chinese medicine diagnosis and treatment data，discussed the graph structure transformation of traditional Chinese medicine diagnosis and treatment data and the application scenarios of traditional Chinese medicine graph neural network，and preliminarily explored the application ideas of graph neural network in the field of traditional Chinesemedicine. Applying graph neural networks to the field of traditional Chinesemedicine diagnosis and treatment requires modeling for different data types and application scenarios，solving initial graph construction，knowledge learning and features，etc.，and then providing support for downstream syndrome prediction，prescription recommendation，etc.

TCM diagnosis and treatment  /  auxiliary diagnosis and treatment  /  graph neural network  /  graph-structured data  /  application ideas
张舒雅, 杨涛, 胡孔法. 图神经网络在中医诊疗领域的应用思路探析. 中华中医药学刊, 2025 , 43 (5) : 18 -21 . DOI: 10.13193/j.issn.1673-7717.2025.05.004
Shuya ZHANG, Tao YANG, Kongfa HU. Exploration of Application Strategies of Graph Neural Networks in Field of Traditional Chinese Medicine Diagnosis and Treatment[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (5) : 18 -21 . DOI: 10.13193/j.issn.1673-7717.2025.05.004
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Year 2025 volume 43 Issue 5
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doi: 10.13193/j.issn.1673-7717.2025.05.004
  • Online Date：2026-10-30
  • Published：2025-05-10
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    1.School of Artificial Intelligence and Information Technology，Nanjing University of Chinese Medicine，Nanjing 210023，Jiangsu，China
    2.School of Information Management，Nanjing University，Nanjing 210023，Jiangsu，China
    3.Jiangsu Province Engineering Research Center of Traditional Chinese Medicine Intelligence Health Service，Nanjing 210023，Jiangsu，China
    4.Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor，Nanjing 210023，Jiangsu，China
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