Analysis of Hot Points on Data Mining Research of Medical in Foreign Countries

Ximin SHI, Wenlong ZHAO, Juan CHEN, Junxue YANG


To promote the current development of medical data mining research, a quantitative statistics and qualitative analysis of the papers in the field of medical data mining technologies were made with the methodology of bibliometric and knowledge mapping, which were enlisted in the database of Web of Science analyzing the general situation of the papers about data mining from several aspects: period sequences, subject funds, countries and regions, core authors and research institutions, the hotspots and research frontiers. Our analysis exposed that the research of data mining in medical showed a multi-disciplinary integration of the development trend, but high-yield leading author group has not yet formed. It is important to note that scholars should raise awareness of clinical medical data mining as well as explore new research directions for further studying.


Medical; Data mining; Research hot points; Knowledge mapping

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Chen, C. (2006). Cite spaceⅡ: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.

Chen, C., Chen, Y., & Horowitz, M., et al. (2009). Towards an explanatory and computational theory of scientific discovery. Journal of Informetrics, 3(3), 191-209.

Chen, S. J. (2009). Survey of approaches to research front detection. New Technology of Library and Information Service, (9), 28-33.

Han, J. W., & Kambr, M. (2001). Data mining: Concepts and techniques (pp.1-18). Beijing Higher Education Press.

Hou, J. H., & Chen, Y. (2007). Research on the visualization of the evolution of strategic management science. Studies in Science of Science, 25(A01), 15-21.

Song, J. E. (1982). Little science and big science (pp.10-25). China: World Knowledge Publishing House.

Sudarshan, V. K., & Vidya, K. (2016). Data mining framework for identification of myocardial infarction stages in ultrasound: A hybrid feature extraction paradigm (PART 2). Computers in Biology & Medicine, 71(C), 241-251.

Sun, X. D., Huang, X. Q., & Zhu, C. L. (2015). Research on massive medical data mining analysis method based on evidence-based medicine. Journal of Medical Informatics, 36(3), 11-16.

Teimouri, M., Farzadfar, F., & Alamdari. M. S., et al. (2016). Detecting diseases in medical prescriptions using data mining tools and combining techniques. Iranian Journal of Pharmaceutical Research, 15, 113-123.

Yamada, S., Kawaguchi, A., & Kawaguchi, T., et al. (2014), Serum albumin level is a notable profiling factor for non-B, non-C hepatitis virus-related hepatocellular carcinoma: A data-mining analysis. Hepatology Research the Official Journal of the Japan Society of Hepatology, 44(8), 837-45.

Zhao, Y. C. (2015). Data mining with R. China Machine Press.



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