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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front. Med.    2014, Vol. 8 Issue (3) : 310-315     DOI: 10.1007/s11684-014-0358-7
REVIEW |
Scientific computation of big data in real-world clinical research
Guozheng Li1,2,*(),Xuewen Zuo2,Baoyan Liu1,*()
1. China Academy of Chinese Medical Science, Beijing 100700, China
2. Department of Control Science, Tongji University, Shanghai 201804, China
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Abstract  

The advent of the big data era creates both opportunities and challenges for traditional Chinese medicine (TCM). This study describes the origin, concept, connotation, and value of studies regarding the scientific computation of TCM. It also discusses the integration of science, technology, and medicine under the guidance of the paradigm of real-world, clinical scientific research. TCM clinical diagnosis, treatment, and knowledge were traditionally limited to literature and sensation levels; however, primary methods are used to convert them into statistics, such as the methods of feature subset optimizing, multi-label learning, and complex networks based on complexity, intelligence, data, and computing sciences. Furthermore, these methods are applied in the modeling and analysis of the various complex relationships in individualized clinical diagnosis and treatment, as well as in decision-making related to such diagnosis and treatment. Thus, these methods strongly support the real-world clinical research paradigm of TCM.

Keywords big data      real world      clinical research      Chinese medicine      medical computing     
Corresponding Authors: Guozheng Li   
Online First Date: 02 September 2014    Issue Date: 09 October 2014
URL:  
http://academic.hep.com.cn/fmd/EN/10.1007/s11684-014-0358-7     OR     http://academic.hep.com.cn/fmd/EN/Y2014/V8/I3/310
Fig.1  Theoretical framework of the scientific computation of TCM.
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