基于概率图的中医动态交互问诊与智能辨证的数学模型的探索

Dynamic Interactive Reasoning and Intelligent Dialectics of Chinese Medicine Based on Probability Graph

本文提出了一个基于概率图的数学模型和迭代推理的算法,探索建立以经典中医辨证体系和方证对应理论为基础的自动交互式问答问诊数学模型。用于中医在线交互问诊和自动辨证分析,以提高远程中医临床问诊有效性,提供中医人工智能辅助辨证。该模型运用迭代推理算法可以实现通过简短的交互问答,自动推理出更优化的辨证分析结果,能够表达临床医师的辨证经验,并体现其对中医古籍知识的积累与运用能力,有利于中医师个人经验的传承和发扬。模型具备可扩展性和可配置性,能够不断积累辨证经验和中医药知识。为中医临床诊疗提供更加高效、便捷的实践助力,有利于加快中医药的传承与推广,有利于扩大中医药诊疗服务的群众基础和市场供给,具有深远的社会效益。

This paper proposes a mathematical model based on probability graphs and an algorithm of iterative reasoning,which is an automatic interactive question-and-answer mathematical model based on the classic TCM syndrome differentiation system and the theory of prescription and syndrome correspondence.It is used for TCM online interactive consultation and automatic syndrome differentiation analysis to improve the effectiveness of remote TCM clinical consultation and help TCM artificial intelligence assist syndrome differentiation.This model can express the clinician's experience in syndrome differentiation,and reflect his ability to accumulate and apply knowledge of ancient Chinese books,which is conducive to the inheritance and development of TCM physicians'personal experience.The model is scalable and configurable,and can continuously accumulate experience in dialectics and knowledge of traditional Chinese medicine.The use of iterative reasoning algorithm can realize the automatic analysis and reasoning of more optimized syndrome analysis results through brief interactive question and answer,providing more efficient and convenient practical assistance for clinical diagnosis and treatment of traditional Chinese medicine,which is conducive to accelerating the inheritance and promotion of traditional Chinese medicine,and is conducive to the expansion of Chinese medicine.The mass basis and market supply of medical diagnosis and treatment services have far-reaching social benefits.