| Quote
: |
樊启猛,贺玉婷,李海英,贺鹏,贺福元.贝叶斯网络在中医药理论研究的现状及与超分子化学联合应用前景[J].湖南中医药大学学报英文版,2019,39(11):1407-1411.[Click to copy
] |
|
| |
|
|
| This paper
：Browser 2309times Download 1262times |
| 贝叶斯网络在中医药理论研究的现状及与超分子化学联合应用前景 |
| 樊启猛,贺玉婷,李海英,贺鹏,贺福元 |
| (湖南中医药大学药学院, 湖南 长沙 410208;中药成药性与制剂制备湖南省重点实验室, 湖南 长沙 410208;湖南中医药大学药学院, 湖南 长沙 410208;中药成药性与制剂制备湖南省重点实验室, 湖南 长沙 410208;湖南中医药大学现代中药制剂制备技术与评价实验室, 湖南 长沙 410208;湖南中医药大学中医药超分子机理与数理特征化实验室, 湖南 长沙 410208) |
| 摘要: |
| 由超分子化学重构的中医药基本理论可通过一系列方法和手段进行研究，但需借助优质的数学方法与技术从大量研究数据中挖掘其潜在的关联性、规律性等信息，进一步直观、清晰地阐明中医药超分子化学理论。诸多数据挖掘技术中，贝叶斯网络最为符合推理过程，是当前在不确定知识表达和推理领域中最有效的理论模型之一，尤其适合于中医药超分子复杂体系的研究。本文阐述了贝叶斯网络的发展历程及基本理论，对其在中医药研究中的现状作综述，探讨贝叶斯网络与中医药超分子化学相辅相成的关系，二者有机结合、联合应用可为中医药理论体系研究提供定性、定量的表征方法和手段，为中医药现代化提供强大臂助。 |
| 关键词: 中医药 贝叶斯网络 超分子化学 数据挖掘 证候 药性 |
| DOI：10.3969/j.issn.1674-070X.2019.11.026 |
| Received:March 15, 2019 |
| 基金项目:国家自然科学基金资助项目（81573691、81703824、81803729、81874507）；湖南省自然科学基金资助项目（2016JJ4065）；湖南省研究生科研创新项目（CX20190570）；湖南中医药大学研究生科研创新课题（2018CX18）。 |
|
| Research Status of Bayesian Network in Traditional Chinese Medicine Theory and Prospect of Combined Application with Supramolecular Chemistry |
| FAN Qimeng,HE Yuting,LI Haiying,HE Peng,HE Fuyuan |
| (School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Hunan Key Laboratory of Druggability and Preparation Modification of Traditional Chinese Medicine, Changsha, Hunan 410208, China;School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Hunan Key Laboratory of Druggability and Preparation Modification of Traditional Chinese Medicine, Changsha, Hunan 410208, China;Modern Pharmaceutical Preparation Technology and Evaluation Laboratory of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;Supramolecular Mechanism and Mathematic-Physics Characterization for Chinese Materia Medica, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China) |
| Abstract: |
| The basic theory of traditional Chinese medicine (TCM) reconstructed by supramolecular chemistry can be studied through a series of methods and means. However, high-quality mathematical methods and techniques are needed to dig out the correlation, regularity and other potential information from a large number of research data, so as to further clarify the theory of TCM reconstructed by supramolecular chemistry intuitively and clearly. Among many data mining technologies, Bayesian Network is one of the most effective theoretical models in the field of uncertain knowledge expression and reasoning, which is most consistent with human reasoning process and suitable for studying supramolecular complex system of TCM. This paper expounded the development and basic theory of Bayesian Network, and its present research status in TCM were reviewed to explore the complementary relationship between Bayesian Network and TCM supramolecular chemistry. The organic integration and combined application of Bayesian Network and supramolecular chemistry of TCM can provide qualitative and quantitative characterization methods and means for the theoretical system of TCM, and provide strong support for the modernization of TCM. |
| Key words: traditional Chinese medicine Bayesian Network supramolecular chemistry data mining syndrome drug properties |
|
二维码（扫一下试试看！） |
|
|
|
|
