数字中医药（英文）2022，Vol.5Issue(4)：377-385,9.DOI:10.1016/j.dcmed.2022.12.004
基于数据驱动的中医四诊综述
Data-driven based four examinations in TCM: a survey
摘要
Abstract
Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience. Its thinking mode in the pro-cess is different from that of modern medicine, which includes the essence of TCM theory. From the perspective of clinical application, the four diagnostic methods of TCM, including inspection, auscultation and olfaction, inquiry, and palpation, have been widely accepted by TCM practitioners worldwide. With the rise of artificial intelligence (AI) over the past decades, AI based TCM diagnosis has also grown rapidly, marked by the emerging of a large number of data-driven deep learning models. In this paper, our aim is to simply but systematically re-view the development of the data-driven technologies applied to the four diagnostic ap-proaches, i.e. the four examinations, in TCM, including data sets, digital signal acquisition devices, and learning based computational algorithms, to better analyze the development of AI-based TCM diagnosis, and provide references for new research and its applications in TCM settings in the future.关键词
中医理论/中医四诊/数据驱动/机器学习/深度学习Key words
Traditional Chinese medicine (TCM)/Four examinations/Data-driven/Machine learning/Computational intelligence引用本文复制引用
隋栋,ZHANG Lei,杨飞..基于数据驱动的中医四诊综述[J].数字中医药（英文）,2022,5(4):377-385,9.基金项目
National Natural Science Foundation of China Youth Fund(61702026). （61702026）
