机构：[1]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China, 510120广东省中医院[2]School of Information Technology, Guangzhou University of Chinese Medicine, Guangzhou, China, 510405深圳市中医院深圳医学信息中心[3]School of Information Technology, York University, Toronto, Canada, M3J1P3
the concept and methodology of evidence-based medicine (EBM) and the strategy to promote efficacy of acupuncture in clinical practice are introduced in this paper. Then it focuses on using the data mining approaches to integrate the primary evidence from real practice based on conventional clinical data and secondary evidence by systematic literature review or Meta-analysis. The new analytic method is capable of explore in-depth on the latent rules and relations of acupuncture and Chinese medicine versus the effectiveness in real practice. A data warehouse is recommended to be set up to store and manage the above evidence processed by appropriate data mining algorithms and models. As the data from different origins is hopefully to be integrated in a clinical decision support system, it will be able to provide evidence-based references and recommendations for the clinical practice of acupuncture and Chinese medicine.
基金：
National Natural Science Foundation of China (No. 81373883 & 81274003), Science
and Technology Project of Guangdong Province (No.
2011B080701036), Zhaoyang Personnel Training Plan of
Guangdong Provincial Hospital of Chinese Medicine
(No.2013KT1067), Research Grant of Guangdong Medical
Foundation (No.A2012215), Research Grant of Guangdong
Administration of Chinese Medicine (No.2010144), and the
Open Foundation of the Key Laboratory of Embedded
System & Service Computing ,Ministry of Education;
Tongji University.
基金编号：No. 81373883 & 81274003
语种：
外文
WOS：
第一作者：
第一作者机构：[1]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China, 510120
通讯作者：
推荐引用方式(GB/T 7714)：
Meng Chang-rong,Zhang Hong-lai,Zeng Ling-feng,et al.Evidence-based Decision Support for the Clinical Practice of Acupuncture: Data Mining Approaches[J].2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM).2013,doi:10.1109/BIBM.2013.6732669.
APA：
Meng, Chang-rong,Zhang, Hong-lai,Zeng, Ling-feng,Li, Zi-ping,Huang, Jimmy&Liang, Zhaohui.(2013).Evidence-based Decision Support for the Clinical Practice of Acupuncture: Data Mining Approaches.2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),,
MLA：
Meng, Chang-rong,et al."Evidence-based Decision Support for the Clinical Practice of Acupuncture: Data Mining Approaches".2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) .(2013)
