Construction and validation of a neural network-based traditional Chinese medicine expert diagnostic model for cervical spondylosis
Information and Statistics|更新时间:2026-02-03
|
Construction and validation of a neural network-based traditional Chinese medicine expert diagnostic model for cervical spondylosis
“Experts from Wangjing Hospital of the Chinese Academy of Traditional Chinese Medicine have constructed and validated a cervical spondylosis diagnosis and treatment model based on a multi-layer perceptron neural network. They have also developed an open and shared interactive artificial intelligence assisted decision-making platform, providing a new tool for improving the standardization and efficiency of cervical spondylosis diagnosis and treatment.”
Journal of Beijing University of Traditional Chinese MedicineVol. 49, Issue 1, Pages: 139-148(2026)
作者机构:
北京中医药大学研究生院 北京 102488
中国中医科学院望京医院脊柱二科
数智中医防治骨与关节退行性疾病北京市重点实验室
作者简介:
基金信息:
National Administration of Traditional Chinese Medicine National Inheritance and Innovation Team Project(ZYYCXTD-C-202003)
YANG Guangyi, FENG Minshan, HAN Changxiao, et al. Construction and validation of a neural network-based traditional Chinese medicine expert diagnostic model for cervical spondylosis[J]. Journal of Beijing University of Traditional Chinese Medicine, 2026, 49(1): 139-148.
DOI:
YANG Guangyi, FENG Minshan, HAN Changxiao, et al. Construction and validation of a neural network-based traditional Chinese medicine expert diagnostic model for cervical spondylosis[J]. Journal of Beijing University of Traditional Chinese Medicine, 2026, 49(1): 139-148. DOI: 10.3969/j.issn.1006-2157.2026.01.017.
Construction and validation of a neural network-based traditional Chinese medicine expert diagnostic model for cervical spondylosis
Performance evaluation of machine learning algorithms on the pattern elements of "qi deficiency" assisted diagnosis
Construction and development of a discipline system for the science of Chinese Materia Medica from the perspective of systems science∗
Multicenter retrospective analysis of 1 055 severe cases of COVID-19 treated by integrated Chinese and Western medicine or Western medicine based on LightGBM and SHAP
Discussion on the process of theorization of TCM based on “data feeding” model
Screening anti-fibrosis Chinese medicinal compounds based on machine learning
Related Author
Chenjie Shu
Hao Liang
Shuming Liu
Yun Wang
QIAO Yanjiang
ZHANG Jiwang
Hai Jin
Wei Li
Related Institution
School of Chinese Materia Medica, Beijing University of Chinese Medicine
Beijing University ofChinese Medicine
Chengdu University of Traditional Chinese Medicine
National Engineering Research Center for Big Data Technology and Systems, Key Laboratory of Service Computing Technology and Systems of Ministry of Education, Key Laboratory of Computing Cluster and Grid Computing of Hubei Province, School of Computer Science and Technology of Huazhong University of Science and Technology
Department of Emergency, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology