燕山大学学报
燕山大學學報
연산대학학보
JOURNAL OF YANSHAN UNIVERSITY
2014年
5期
423-427
,共5页
刘超男%邓烨%李赛美%刘煜洲%洪文学%刘敏
劉超男%鄧燁%李賽美%劉煜洲%洪文學%劉敏
류초남%산엽%리새미%류욱주%홍문학%류민
大数据时代%中医方药%伤寒论%复杂概念网络
大數據時代%中醫方藥%傷寒論%複雜概唸網絡
대수거시대%중의방약%상한론%복잡개념망락
age of big data%traditional Chinese medicine prescriptions%Treatise on Febrile Disease%complex concept network
近年来,大数据时代下的理念与技术应用于中医药领域的研究逐步开展。方药“大数据”是中医药知识的重要组成部分,然而其数据混杂,隐藏其中的知识亟需更好地挖掘。本文以“方书之祖”——《伤寒论》中方药知识为载体,介绍基于形式概念分析的复杂概念网络发现方法,提出大数据时代的中医方药知识发现新方法,以促进中医药学的进一步挖掘、继承和创新,造福社会,造福人类。
近年來,大數據時代下的理唸與技術應用于中醫藥領域的研究逐步開展。方藥“大數據”是中醫藥知識的重要組成部分,然而其數據混雜,隱藏其中的知識亟需更好地挖掘。本文以“方書之祖”——《傷寒論》中方藥知識為載體,介紹基于形式概唸分析的複雜概唸網絡髮現方法,提齣大數據時代的中醫方藥知識髮現新方法,以促進中醫藥學的進一步挖掘、繼承和創新,造福社會,造福人類。
근년래,대수거시대하적이념여기술응용우중의약영역적연구축보개전。방약“대수거”시중의약지식적중요조성부분,연이기수거혼잡,은장기중적지식극수경호지알굴。본문이“방서지조”——《상한론》중방약지식위재체,개소기우형식개념분석적복잡개념망락발현방법,제출대수거시대적중의방약지식발현신방법,이촉진중의약학적진일보알굴、계승화창신,조복사회,조복인류。
In recent years, the research on the application of ideas and technology in age of big data to the field of the traditional Chinese medicine (TCM) is developing gradually. Big data of prescriptions is an important component of the knowledge in TCM. It is necessary to have a better mining for hidden knowledge in the massive and complicated data. The research takes the knowledge of TCM prescriptions in Treatise on Febrile Diseases which is the"ancestor of formularies"as a carrier. The method to discover the multi-layer complex concept network is introduced. A new method for TCM prescriptions research in age of big data is proposed in order to promote the further excavation, heritance and innovation of TCM, which will benefit the community and humanity.