This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1210) Natural Language Processing (706) Machine Learning (1501) Electronic Health Records (1068) Theme Issue 2020: Medical Artificial Intelligence Applications in China (10)

Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35239, first published .
Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Transformer- and Generative Adversarial Network–Based Inpatient Traditional Chinese Medicine Prescription Recommendation: Development Study

Authors of this article:

Hong Zhang1 Author Orcid Image ;   Jiajun Zhang2 Author Orcid Image ;   Wandong Ni3 Author Orcid Image ;   Youlin Jiang1 Author Orcid Image ;   Kunjing Liu1 Author Orcid Image ;   Daying Sun4 Author Orcid Image ;   Jing Li1 Author Orcid Image
Article Authors Cited by (11) Tweetations (3) Metrics

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  1. Ma S, Liu J, Li W, Liu Y, Hui X, Qu P, Jiang Z, Li J, Wang J. Machine learning in TCM with natural products and molecules: current status and future perspectives. Chinese Medicine 2023;18(1) View
  2. Wang Z, Guo Z. Intelligent Chinese Medicine: A New Direction Approach for Integrative Medicine in Diagnosis and Treatment of Cardiovascular Diseases. Chinese Journal of Integrative Medicine 2023;29(7):634 View
  3. Zhao Z, Qian Y, Liu Q, Chen J, Liu Y. A Dynamic Optimization-Based Ensemble Learning Method for Traditional Chinese Medicine Named Entity Recognition. IEEE Access 2023;11:99101 View
  4. Chen Z, Peng P, Wang M, Deng X, Chen R. Bioinformatics-based and multiscale convolutional neural network screening of herbal medicines for improving the prognosis of liver cancer: a novel approach. Frontiers in Medicine 2023;10 View
  5. Li X, Chen K, Yang J, Wang C, Yang T, Luo C, Li N, Liu Z. TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease. Computers in Biology and Medicine 2024;169:107808 View
  6. Zeng J, Jia X. Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine. Engineering 2024;40:28 View
  7. Yang Q, Cheng Z, Kang Y, Wang X. A novel multi-view contrastive learning for herb recommendation. Applied Intelligence 2024;54(22):11412 View
  8. Li R, Wu S, Tu J, Peng L, Ma L. An enhanced graph convolutional network with property fusion for acupoint recommendation. Applied Intelligence 2024;54(22):11536 View
  9. Zhao Z, Tang Y, Cheng Z, Leng Y, Tang L. ABL-TCM: An Abductive Framework for Named Entity Recognition in Traditional Chinese Medicine. IEEE Access 2024;12:126232 View
  10. Song Z, Chen G, Chen C. AI empowering traditional Chinese medicine?. Chemical Science 2024;15(41):16844 View