Recent Advances in the Study of Ancient Books on Traditional Chinese Medicine

作     者：Li Gao Chun-Hua Jia Wei Wang Li Gao;Chun-Hua Jia;Wei Wang

作者机构：School of Preclinical MedicineBeijing University of Chinese MedicineBeijingChina St.Michael's HospitalUniversity of TorontoTorontoCanada 

出 版 物：《World Journal of Traditional Chinese Medicine》 (世界中医药杂志（英文）)

年 卷 期：2020年第6卷第1期

页      面：61-66页

学科分类：1007[医学-药学(可授医学、理学学位)] 1005[医学-中医学] 1002[医学-临床医学] 100503[医学-中医医史文献] 10[医学] 

基　　金：the China Postdoctoral Science Foundation (Grant No. 2019M650598) the Fundamental Research Funds for the Central Universities (Grant No. 2019-JYB-JS-005) 

主　　题：Advanced analytical techniques ancient books recent advances traditional Chinese medicine 

摘      要：The ancient books on traditional Chinese medicine(TCM) are the source of knowledge for TCM physicians. Therapeutic principles and therapeutic methods for healing many diseases are recorded in these ancient TCM books, providing a huge number of references for modern TCM physicians on conducting diagnosis and administering treatment for different diseases. The ancient TCM books can be dated back thousands of years, and this vast knowledge is recorded in different medical books in the form of text. However, it is difficult to systematically assimilate much information in ancient TCM books. At present, many researchers are applying advanced analytical techniques to analyze the text data in the ancient TCM books. Advanced techniques that have been applied include database construction, cognitive linguistic analysis, fuzzy logic, data mining, and artificial intelligence(AI) technology. There are different characteristics in these advanced analytical techniques. In this study, we comprehensively review recent advances in these techniques applied to the study of ancient TCM books. Furthermore, as AI technology is increasingly utilized in the medical field as well as in the study of ancient TCM books, we also review the application of AI technology to the study of ancient TCM books.