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The Scientific World Journal
Volume 2015, Article ID 125736, 9 pages
http://dx.doi.org/10.1155/2015/125736
Research Article

Syndrome Differentiation Analysis on Mars500 Data of Traditional Chinese Medicine

1China Astronaut Research and Training Center, Beijing 100094, China
2Data Center of Traditional Chinese Medicine, China Academy of Chinese Medicine Science, Beijing 100700, China
3Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
4Department of Control Science and Engineering, Tongji University, Shanghai 201804, China
5Shanghai Daosheng Medical Technology Co. Ltd., Shanghai 201203, China

Received 10 October 2014; Accepted 18 December 2014

Academic Editor: Zhaohui Liang

Copyright © 2015 Yong-Zhi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

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  • Guozheng Li, Xuewen Zuo, and Baoyan Liu, “Scientific computation of big data in real-world clinical research.,” Frontiers of medicine, vol. 8, no. 3, pp. 310–5, 2014. View at Publisher · View at Google Scholar
  • Guo-zheng Li, and Bao-yan Liu, “Big data is essential for further development of integrative medicine,” Chinese Journal of Integrative Medicine, vol. 21, no. 5, pp. 323–331, 2015. View at Publisher · View at Google Scholar
  • Shuwen Han, Xi Yang, Quan Qi, Yuefen Pan, Yongchao Chen, Junjun Shen, Haihong Liao, and Zhaoning Ji, “Potential screening and early diagnosis method for cancer: Tongue diagnosis,” International Journal Of Oncology, vol. 48, no. 6, pp. 2257–2264, 2016. View at Publisher · View at Google Scholar
  • Tadaaki Kawanabe, Nur Diyana Kamarudin, Chia Yee Ooi, Fuminori Kobayashi, Xiaoyu Mi, Mariko Sekine, Akino Wakasugi, Hiroshi Odaguchi, and Toshihiko Hanawa, “Quantification of tongue colour using machine learning in Kampo medicine,” European Journal of Integrative Medicine, 2016. View at Publisher · View at Google Scholar