摘要
随着基于神经网络的机器学习技术的成熟,人工智能开始了井喷式发展的黄金时期。文章基于人工智能的技术现状,结合中医学的特点,为中医学走进人工智能时代提供了一套清晰的思路和方法:中医学要借助于人工智能的深度学习技术,前提是要建设一个规范标定(正确诊断)的病例数据集。而建立这个数据集,需要规范的症状、体征、检测指标体系,需要规范化、结构化的证候体系,需要规范的信息采集软件平台。在此基础上,根据中医学的知识与经验建立初步的算法模型,再进行机器学习,将会大大减少要学习的内容,减少运算的工作量以及训练所需数据集的规模和精准度。由此,经验模型基础上的机器学习,是现阶段中医人工智能开发的一条既经济实用又快捷有效的途径。
With the maturity of machine learning based on neural networks,artificial intelligence(AI) began a golden age of well-jet development.Based on the technical progress of artificial intelligence,combined with the characteristics of Chinese medicine,the article puts forward a set of clear ideas and methods for Chinese medicine to enter the age of artificial intelligence:Chinese medicine wants to use the depth learning technique of AI,the premise is to build a certified case data set.In order to establish this data set,it is necessary to standardize the symptoms,signs and testing indicators,and to standardize the classification of syndromes,and to develop a software platform for the information acquisition.On this basis,if we establish a preliminary algorithm model based on the knowledge and experience of Chinese medicine,it will undoubtedly reduce the content of learning reduce the workload of the operation and the size and accuracy of the data set required for training.Thus,the machine learning on the basis of the experience model is an economic and effective approach to the AI of Chinese medicine in the current stage.
作者
袁冰
范钢
YUAN Bing;FAN Gang(HK Modem Chinese Medicine Research & Development Center, Hong Kong, Chin)
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2018年第2期698-703,共6页
China Journal of Traditional Chinese Medicine and Pharmacy
关键词
智慧医疗
人工智能
机器学习
智慧中医
中医专家系统
Intelligent medical
Artificial intelligence
Machine learning
Wisdom Chinese medicine
Chinese expert system