中医辨证智能化研究现状及发展趋势

Discussion on the Status and Development Trend of Research on Intellectualization of Chinese Medicine Syndrome Differentiation

中医辨证是中华民族千年来防病治病的实践结晶和理论积淀,深入研究辨证的原理和规律,建立科学规范的数字化和智能化辨证方法,对中医现代化发展具有重要意义。介绍了中医辨证智能化研究背景与现状,将中医辨证智能化的研究方法归纳为知识工程、数理统计、机器学习和深度学习四大类。提出中医辨证智能化目前面临的问题和对策,认为中医辨证智能化需要以统一规范的中医理论为指导,设计相应的数学模型,切实处理好先验知识和临床数据之间的关系,实现符合中医“以象测藏,从症辨证”思维的中医辨证模型,实现真正意义上的类脑计算和认知智能。

Chinese medicine syndrome differentiation is the accumulation of the practice and theories from the experience of disease prevention and treatment of the Chinese nation for thousands of years.Thus,it is important to study the principles and laws of syndrome differentiation and establish scientific and standardized digital and intelligent methods of syndrome differentiation for the modernization of Chinese medicine.This study introduces the background and status of the research on the intellectualization of Chinese medicine syndrome differentiation.In addition,the research methods of the intellectualization of Chinese medicine syndrome differentiation are summarized into four categories:knowledge engineering,mathematical statistics,machine learning,and deep learning.Through presenting the current problems and countermeasures of the intellectualization of Chinese medicine syndrome differentiation,this study suggests the intellectualization of Chinese medicine syndrome differentiation needs to be guided by the unified and standardized Chinese medicine theory,design the corresponding mathematical model,deal with the relationship between a priori knowledge and clinical data,and realize the Chinese medicine syndrome differentiation model which is in line with the thinking of Chinese medicine"measuring the visceral by the manifestation and identifying the syndrome from the symptoms",so as to achieve the real sense of brain-like computing and cognitive intelligence.