大数据背景下的地域性中医学术流派研究  

Research on Regional Academic Schools of Traditional Chinese Medicine under Big Data Background

作　　者：郜峦 王振国[1] 张丰聪[1] Gao Luan;Wang Zhenguo;Zhang Fengcong(Traditional Chinese Medicine Literature Institute, Shandong University of Chinese Medicine, Jinan 250355, China;Clinical College of Chinese Medicine, Anhui University of Traditional Chinese Medicine, Hefei 230038, China)

机构地区：[1]山东中医药大学中医文献研究所,济南250355 [2]安徽中医药大学中医临床学院,合肥230038

出　　处：《世界科学技术-中医药现代化》2018年第1期32-36,共5页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：中国博士后科学基金面上资助项目(2016M592240):地域性中医学术流派评价的方法学研究;负责人:郜峦;安徽中医药大学校级科研项目(2016ts001):基于文献计量学的新安医学文献评价研究;负责人:郜峦

摘　　要：随着大数据时代的来临,大数据的理念与技术应用于中医药领域的研究正在蓬勃发展。中医学术流派是中医学术发展与理论创新的重要形式,是中医学发展史上的一个鲜明特色。当前中医学术流派数据具有异构性、广分布、多样性、海量等特点。本文通过分析大数据时代带来的影响,提出将大数据分析技术应用于中医学术流派研究的思路和方法,期望能为地域性中医学术流派大数据环境提供一个坚实的支撑平台,推动地域性中医学术流派的传承与发展。With advent of the big data era,applying ideas and techniques of big data in the research field of traditional Chinese medicine（TCM）is progressing.As a distinctive feature in the history of TCM development,TCM academic school is an important form of academic development and theoretical innovation of TCM.Current data of TCM academic school has the characteristics of heterogeneity,wide distribution,diversity and magnanimity.This paper intended to apply big data analysis technology to the research of TCM academic school based on analyzing the impact of big data age to promote the inheritance and development of TCM academic schools in the region.

关 键 词：大数据 hadoop技术 地域性中医学术流派 

分 类 号：R22[医药卫生—中医基础理论]