中医药数据挖掘现状分析与创新探索  

Status Analysis and Innovation Exploration of TCM Data Mining Technology

作　　者：潘晔 娄静[1] 潘玉颖[1] 范军铭[1] 侯留法[1] PAN Ye;LOU Jing;PAN Yuying;FAN Junming;HOU Liufa(The Affiliated Hospital of Henan Academy of Chinese Medicine,Zhengzhou 450004,China)

机构地区：[1]河南省中医药研究院附属医院,河南郑州450004

出　　处：《中国中医药信息杂志》2022年第5期5-9,共5页Chinese Journal of Information on Traditional Chinese Medicine

基　　金：国家自然科学基金面上项目(81774453);河南省中医药学科领军人才培养项目(2021年);河南省中医药科学研究专项重点项目(2018ZY1018)。

摘　　要：中医临床问诊依靠经验积累,辨证论治是一个知识决策过程,与数据挖掘研究有契合之处,但中医药数据所蕴含的知识与经典的数据挖掘项目有所不同,需进行数据调整与变换,算法上应针对辨证论治这一知识决策过程进行参数调整。中医药数据挖掘已在用药规律、辨证规律、中药研发等领域被广泛应用。本文梳理近年数据挖掘在中医药领域应用现状及存在的问题,并结合信息化对中医药数据挖掘前景进行分析,为未来发展提供相应参考。TCM clinical inquiry relies on experience accumulation,and syndrome differentiation and treatment is a knowledge decision-making process,which is in line with data mining research.However,the knowledge contained in TCM data is different from classical data mining projects,and data adjustment and transformation are required.The parameters of the algorithm should adjust according to the knowledge decision-making process of syndrome differentiation and treatment.TCM data mining has been widely used in the fields of medication regularity,syndrome differentiation regularity,and TCM research and development.In this article,the application status and existing problems of data mining in the field of TCM in recent years are sorted out,and the prospects of data mining in TCM are analyzed in combination with TCM informatization,providing a corresponding reference for future development.

关 键 词：中医药 数据挖掘 信息化 中医医案 

分 类 号：R2-05[医药卫生—中医学]