摘要
数据挖掘是一门新兴学科,优势在于从庞大的数据库中提取、分析潜在的规律,并从不同侧面反映事物的本质。数据挖掘技术的应用可以使中医药信息更加直观,有助于从大量文献中快速获取中医药知识资源,发现新的问题,拓宽研究思路。本文分析了近年来中医学领域多位学者运用数据挖掘技术的研究成果,总结了数据挖掘技术在中药、方剂、证候、治法、名家经验、古典医籍以及疾病预防等多方面应用情况,以期为其在中医药研究中的进一步应用提供参考。
Data mining is an emerging discipline.Its advantage lies in extracting and analyzing potential laws from huge databases and reflecting the essence of things from different aspects.The application of data mining technology can make traditional Chinese medicine information more intuitive,help to quickly obtain traditional Chinese medicine knowledge resources from a large number of literatures,discover new problems,and broaden research ideas.This paper analyzes the research results of data mining technology used in the field of traditional Chinese medicine in recent years by many scholars,and summarizes the application of data mining technology in traditional Chinese medicine,prescriptions,syndromes,treatment methods,famous experts'experience,classic medical records and disease prevention,in order to provide reference for its further application.
作者
封继宏
张鹏宇
FENG Jihong;ZHANG Pengyu(Department of Respiratory,the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine,Tianjin300143,China;Yaqian Town Community Health Service Center of Xiaoshan District in Hangzhou City,Zhejiang Province,Hangzhou311209,China)
出处
《中国医药导报》
CAS
2020年第13期54-57,共4页
China Medical Herald
基金
国家自然科学基金面上项目(81673747)。
关键词
数据挖掘
中医药
应用
综述
Data mining
Traditional Chinese medicine
Application
Review
