Literature DB >> 25935141

Big data is essential for further development of integrative medicine.

Guo-zheng Li1, Bao-yan Liu.   

Abstract

To give a short summary on achievements, opportunities and challenges of big data in integrative medicine (IM) and explore the future works on breaking the bottleneck to make IM develop rapidly, this paper presents the growing field of big data from IM, describes the systems of data collection and the techniques of data analytics, introduces the advances, and discusses the future works especially the challenges in this field. Big data is increasing dramatically as the time flies, whatever we face it or not. Big data is evolving into a promising way for deep insight IM, the ancient medicine integrating with modern medicine. We have great achievements in data collection and data analysis, where existing results show it is possible to discover the knowledge and rules behind the clinical records. Transferring from experience-based medicine to evidence-based medicine, IM depends on the big data technology in this great era.

Mesh:

Year:  2015        PMID: 25935141     DOI: 10.1007/s11655-015-2169-3

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN: 1672-0415            Impact factor:   1.978


  15 in total

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Authors:  Chuanjian Lu; Jingwen Deng; Li Li; Dongmei Wang; Guozheng Li
Journal:  Biochim Biophys Acta       Date:  2013-06-05

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4.  Inquiry diagnosis of coronary heart disease in Chinese medicine based on symptom-syndrome interactions.

Authors:  Guo-Zheng Li; Sheng Sun; Mingyu You; Ya-Lei Wang; Guo-Ping Liu
Journal:  Chin Med       Date:  2012-04-05       Impact factor: 5.455

5.  Modelling of inquiry diagnosis for coronary heart disease in Traditional Chinese Medicine by using multi-label learning.

Authors:  Guo-Ping Liu; Guo-Zheng Li; Ya-Lei Wang; Yi-Qin Wang
Journal:  BMC Complement Altern Med       Date:  2010-07-20       Impact factor: 3.659

6.  Computerized tongue image segmentation via the double geo-vector flow.

Authors:  Miao-Jing Shi; Guo-Zheng Li; Fu-Feng Li; Chao Xu
Journal:  Chin Med       Date:  2014-02-08       Impact factor: 5.455

Review 7.  Big data analytics in healthcare: promise and potential.

Authors:  Wullianallur Raghupathi; Viju Raghupathi
Journal:  Health Inf Sci Syst       Date:  2014-02-07

8.  Qualitative and quantitative analysis for facial complexion in traditional Chinese medicine.

Authors:  Changbo Zhao; Guo-zheng Li; Fufeng Li; Zhi Wang; Chang Liu
Journal:  Biomed Res Int       Date:  2014-05-22       Impact factor: 3.411

9.  Network based integrated analysis of phenotype-genotype data for prioritization of candidate symptom genes.

Authors:  Xing Li; Xuezhong Zhou; Yonghong Peng; Baoyan Liu; Runshun Zhang; Jingqing Hu; Jian Yu; Caiyan Jia; Changkai Sun
Journal:  Biomed Res Int       Date:  2014-06-02       Impact factor: 3.411

10.  Syndrome Differentiation Analysis on Mars500 Data of Traditional Chinese Medicine.

Authors:  Yong-Zhi Li; Guo-Zheng Li; Jian-Yi Gao; Zhi-Feng Zhang; Quan-Chun Fan; Jia-Tuo Xu; Gui-E Bai; Kai-Xian Chen; Hong-Zhi Shi; Sheng Sun; Yu Liu; Feng-Feng Shao; Tao Mi; Xin-Hong Jia; Shuang Zhao; Jia-Chang Chen; Jun-Lian Liu; Yu-Meng Guo; Li Ping Tu
Journal:  ScientificWorldJournal       Date:  2015-10-01
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  1 in total

1.  Efficacy-specific herbal group detection from traditional Chinese medicine prescriptions via hierarchical attentive neural network model.

Authors:  Li Chen; Xinglong Liu; Siyuan Zhang; Hong Yi; Yongmei Lu; Pan Yao
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-18       Impact factor: 2.796

  1 in total

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