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Ontologies, Classifications, and Coding (484) Clinical Informatics (2454) Theoretical Frameworks and Concepts (604)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55090, first published .
Herbal remedies: jars of dried herbs, spices, and essential oils for natural wellness.

Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation

Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation

Authors of this article:

Chang Liu1, 2, 3 Author Orcid Image ;   Zhan Li1 Author Orcid Image ;   Jianmin Li3 Author Orcid Image ;   Yiqian Qu1, 3 Author Orcid Image ;   Ying Chang1 Author Orcid Image ;   Qing Han4 Author Orcid Image ;   Lingyong Cao1, 3 Author Orcid Image ;   Shuyuan Lin1, 3 Author Orcid Image
Article Authors Cited by (17) Tweetations (2) Metrics

Journals

  1. Zhang B, Li R, Yin K, Hua S, Li S, Jiang M, An H, Li P. Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model. Interdisciplinary Sciences: Computational Life Sciences 2026;18(2):734 View
  2. Zeng X, Wang Z, Chai J, Xu H, Qu L, Li H, Lang X, Song Y, Ling Y, Gu N, Qiao X, Zhou Z. LDComKG: an LLM-powered dual-enhanced framework for community-aware knowledge graph completion in traditional Chinese medicine. Health Information Science and Systems 2026;14(1) View
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  4. Weikang K, Chuanbiao W, Yue L. Knowledge graph-enhanced long-tail learning approach for traditional Chinese medicine syndrome differentiation. Digital Chinese Medicine 2026;9(1):57 View
  5. Chenggong X, Keying H, Zhengquan D, Xinyi H, Bin W. Interdisciplinary integration and development trends of intelligent diagnosis in traditional Chinese medicine: a topic evolution analysis. Digital Chinese Medicine 2026;9(1):43 View
  6. Chen S, Zhong R, Zhang W, Li Z, Su Y, Gao L, Hu K. What will be the next step of LLMs in TCM? A narrative review. Science of Traditional Chinese Medicine 2026;4(2):111 View
  7. Yang M, Jin J, Liu Y, Zhao L, Chen H, Hao W, Ao X, Ran Z, Li Z, Zhou X. Advancements of artificial intelligence in Chinese herbal medicine recommendation: A comprehensive review of data-driven approaches and clinical applications form 2016 to 2025. Medicine 2026;105(18):e48468 View
  8. Zheng W, Tong Y, Huang J, Zhu L, Chai J. Beyond transparency: why Traditional Chinese Medicine (TCM) need explainable artificial intelligence (XAI). Chinese Medicine 2026;21(1) View
  9. Fischer D, Meier L, Koch S. Traditional Medicine Knowledge Graphs for Drug Discovery: Cultural Context, Evidence Grading, Mechanistic Links, and Benefit-Sharing Logic. International Journal of Pharmaceutical And Phytopharmacological Research 2026;16(3):1 View
  10. Dong Z, Du Z, Zhang F. Inductive link prediction on traditional Chinese medicine knowledge graphs with complex hyperbolic graph neural networks. Expert Systems with Applications 2027;334:134865 View
  11. Su X, Zhao X, Yao G, Wang Y. A Traditional Chinese Medicine Knowledge Graph for Hypertension With Emotional Comorbidity: Development and Blinded Question-Answering Evaluation (Preprint). JMIR Medical Informatics 2026 View
  12. Kropshofer J, Wöß W. Knowledge Graph Quality Revisited: Recent Methods, Emerging Trends, and Open Challenges. ACM SIGAPP Applied Computing Review 2026;26(3):34 View
  13. He Z, Yang X, Bao T, Lu C, Lu J, Zhao Y, Zhang A, Wen T, Chen Y, He F, Chen Y, Geng X, Xi X, Zheng C, Chen Z, Yan X, Li X, Wang Z, Zhao L, Tong X. From Four-Diagnostic Signals to Trustworthy Clinical Intelligence: Engineering Digital Characterization and AI-Assisted Decision Support in TCM. Engineering 2026 View

Books/Policy Documents

  1. Meng Q, Jiang X, Sun P. Advanced Intelligent Computing Technology and Applications. View
  2. Zhu X, Bian Q, Yang L, Tang L, Chen C. Artificial Intelligence in Healthcare. View

Conference Proceedings

  1. Tang J, Wu N, Gao F, Dai C, Zhao M, Zhao X. 2025 International Joint Conference on Neural Networks (IJCNN). From Metaphor to Mechanism: How LLMs Decode Traditional Chinese Medicine Symbolic Language for Modern Clinical Relevance View
  2. Gan Q, Shang J, Wei L, Li C, Liu C, Jia L. 2026 International Joint Conference on Neural Networks (IJCNN). SEGCN-AIKC: Trustworthy Herbal Prescription Recommendation via Knowledge-Guided Verification and Correction View