中医辨证应用中不同类型人工智能解决方案的综述
A Review on Different Kinds of Artificial Intelligence Solutions in TCM Syndrome Differentiation Application.
作者信息
Song Yujuan, Zhao Bin, Jia Jun, Wang Xuebing, Xu Sibai, Li Zhenjing, Fang Xu
机构信息
TCM Department, Shenzhen Longhua District Central Hospital, Guanlan Avenue No. 187, Shenzhen, Guangdong, China.
Rehabilitation Department, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang, China.
出版信息
Evid Based Complement Alternat Med. 2021 Mar 9;2021:6654545. doi: 10.1155/2021/6654545. eCollection 2021.
In 1979, the first computer program for TCM diagnosis was launched, although this time was about 30 years after artificial intelligence (AI) came into being and began to be widely used. However, an endless stream of artificial intelligence methods was applied in the field of Chinese medicine research, expert system, artificial neural network, data mining, and multivariate analysis; not limited to what was mentioned, this study tried to make a review on application of AI to TCM syndrome differentiation, while summarizing the artificial intelligence application of TCM syndrome differentiation in the current context. It also provides a theoretical background for the upcoming fully automated research on TCM syndrome differentiation and diagnosis robot.
1979年，首个中医诊断计算机程序问世，尽管此时距离人工智能诞生并开始广泛应用已过去了约30年。然而，层出不穷的人工智能方法被应用于中医研究领域，如专家系统、人工神经网络、数据挖掘和多变量分析等；不止于此，本研究试图对人工智能在中医辨证中的应用进行综述，同时总结当下背景下中医辨证的人工智能应用情况。这也为即将开展的中医辨证与诊断机器人全自动化研究提供了理论背景。
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