Scientific computation of big data in real-world clinical research

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

References

[1] Special Online Collection. Dealing with data. Science Feb.11, 2011.

[2] Nature special issue. Big data: science in the petabyte era. Nature,Sep.4, 2008.

[3] Liu BY, Zhou XZ, Li P, Wang YH, Wen TC, Guo YF, Zhang RS, Chen SB. A unified clinical and research information platform toward individualized medicine. China Digit Med (Zhongguo Shu Zi Yi Xue) 2007; 2(6): 20 (in Chinese)

[4] Yu L, Lu Y, Tian YM, Zhu XL. Research on architecture and key technology of Internet of Things in hospital. Transducer Microsyst Technol (Chuan Gan Qi Yu Wei Xi Tong) 2012; 31(6): 76–78,86 (in Chinese)

[5] Liu BY. A navigational chart for contemporary traditional Chinese medicine to be drawn based on big data. China News Tradit Chin Med (Zhongguo Zhong Yi Yao Bao). 2013-5. 3 (in Chinese)

[6] Liu BY. Clinical research paradigm of Traditional Chinese medicine in real world. J Tradit Chin Med（Zhong Yi Za Zhi) 2013; 54(6): 451–455 (in Chinese)

[7] Huang XR. Complexity science. Chongqing: Chongqing University, 2012 (in Chinese)

[8] Shi Z. Intelligence science. Beijing: Tsinghua University Press, 2006 (in Chinese)

[9] Li GZ, Zeng XQ. Research progress in Chinese clinical medical data analysis and mining. Int J Biomed Eng (Guo Ji Sheng Wu Yi Xue Gong Cheng Za Zhi) 2013; 36(2): 88–92 (in Chinese)

[10] Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ. Computer-assisted lip diagnosis on traditional Chinese medicine using multi-class support vector machines. BMC Complement Altern Med 2012; 12(1): 127

[11] Shi MJ, Li GZ, Li FF, Xu C. Computerized tongue image segmentation via the double geo-vector flow. Chin Med 2014; 9(1): 7

[12] Gao YT. Wenzhen. Beijing: Chinese Ancient Resources, 2008 (in Chinese)

[13] Guo D, Zhang D, Li N, Zhang L, Yang J. A novel breath analysis system based on electronic olfaction. IEEE Trans Biomed Eng 2010; 57(11): 2753–2763

[14] Shao H, Li GZ. Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine. Sci China Inf Sci 2013; 56(5): 1–13

[15] Huang X, Tang W, Li R, Huang H. Comparative study on synchronous test of three-position pulse and simple pulse test. Chin J Basic Med Tradit Chin Med (Zhongguo Zhong Yi Ji Chu Yi Xue Za Zhi) 2005; 11(3): 210–234 (in Chinese)

[16] You M, Li GZ. Medical diagnosis by using machine learning techniques. In: Josiah Poon, Simon Poon. Data Analytics for Traditional Chinese Medicine Research. Springer, 2014: 39–80

[17] Zhou XZ, Liu BY, Wang YH, Zhang RS, Yao NL, Cui M. Study of compound drugs based on complex network method. Chin J Inf Tradit Chin Med (Zhongguo Zhong Yi Yao Xin Xi Za Zhi) 2008; 15(11): 98–100 (in Chinese)

[18] Poon SK, Poon J, McGrane M, Zhou X, Kwan P, Zhang R, Liu B, Gao J, Loy C, Chan K, Sze DM. A novel approach in discovering significant interactions from TCM patient prescription data. Int J Data Min Bioinform 2011; 5(4): 353–368

[19] Xu L. On essential topics of BYY harmony learning: current status, challenging issues, and gene analysis applications. Front Electr Electron Eng 2012; 7(1): 147–196

[20] Liu GP, Li GZ, Wang YL, Wang YQ. Modelling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine by using multi-label learning. BMC Complement Altern Med 2010; 10(1): 37

[21] Cui M, Yin A, Li H. The establishment of Chinese medicine information study. J Tradit Chin Med (ZhongYi Za Zhi) 2008; 49(3): 267–278 (in Chinese)

[22] Shi Z, Zhao S. New progress of study in engineering area of traditional Chinese medicine. World Sci Technol—Modernization Tradit Chin Med Mater Med (Shi Jie Ke Xue Ji Shu—Zhong Yi Yao Xian Dai Hua) 2005; 7(1): 127–132,89 (in Chinese)

[23] Jin Y, Hu G, Wang K. Computational Biology: analysis and applications of biological sequence. Beijing: Science Press, 2010 (in Chinese)

[24] Wang FY. Social computing: science and technology, humanities. Bull Chin Academy Sci 2005; 20(5): 370–376

[25] Bi SW. Digital Human Body—Human Body Digital Science. Beijing: Science Press, 2004 (in Chinese)

[26] Wang Q. Study on the current situation of four diagnostic methods of TCM. J Tradit Chin Med (Zhong Yi Za Zhi) 2000; 41(4): 242–245 (in Chinese)

[27] Zhang DZ, Peng JN, Fan HX. Present research situation and prospect of Chinese medicine expert system. Appl Res Comput (Ji Suan Ji Ying Yong Yan Jiu) 2007; 24(12): 6–9 (in Chinese)

[28] Sun Y. Research progress analysis of Chinese medical knowledge engineering. Chin J Inf Tradit Chin Med (Zhongguo Zhong Yi Yao Xin Xi Za Zhi) 2010; 17(12): 5–6 (in Chinese)

[29] You M, Li GZ, Zeng XQ, Ge L, Bi L, Huang S, Yang JY, Yang MQ. A personalized traditional Chinese medicine system in the case of Cai’s Gynecology. Int J Funct Inform Personal Med 2008; 1(4): 419–438

[30] Li GZ, Sun S, You M, Wang YL, Liu GP. Inquiry diagnosis of coronary heart disease in Chinese medicine based on symptom-syndrome interactions, Chin Med 2012; 7(1): 9

[31] Huang SY, Fang SC, Liu H, Zhang R, Wang CY, Bi L, Zhang L, Xu L, Li GZ, Wang HL. Su LN. The technology to carry out the old doctor of traditional Chinese medicine academic experience inheritance of global design examples of the application of data mining. J Shanghai Tradit Chin Med (Shanghai Zhong Yi Yao) 2011; 45(9): 1–3 (in Chinese)

[32] Lu C, Zhou H, Luo Y, Chen B, Qin X, Wen Z, Li J, Ou AH, Ouyang W, Li X, Huang T, Liang Z, Yan S, Li GZ. Comparison of the clinical outcomes of Chinese, western, and integrative medicine for the treatment of H1N1 influenza A in China. Evid Based Complement Alternat Med (in press)

[33] Li Y, Li GZ, Gao JY, Zhang Z, Fan Q, Xu J, Bai G, Chen K, Shi H, Sun S, Liu Y, Shao F, Mi T, Jia X, Zhao S, Chen J, Liu J, Guo Y. Syndrome differentiation analysis on MARS500 data of traditional Chinese medicine. Evid Based Complement Alternat Med (in press)

[34] Lu C, Deng J, Li L, Li GZ. Application of metabolomics on diagnosis and treatment of patients with psoriasis in traditional Chinese medicine. Biochim Biophys Acta - Proteins and Proteomics 2014; 1844(1), Part B: 280–288

Acknowledgements

This work was supported by the Natural Science Foundation of China(Grants No. 61273305) and the Fundamental Research Funds for Central Universities.

Compliance with ethics guidelines

Guozheng Li, Xuewen Zuo and Baoyan Liu declare that they have no conflict of interest. This article does not contain any studies with human or animal subjects as performed by any of the authors.

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg