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Review of Tibetan Medical Data Mining

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Advances in Computational Science and Computing (ISCSC 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 877))

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Abstract

Firstly, this review analyzed the prospect and the main problems of data mining in the Tibetan medicine field. Secondly, it focused on the elaboration of the current research status of data mining technology applied in Tibetan areas, and carried on detailed analysis of the research in clustering, association rules, classification technology in Tibetan field respectively. Finally, this paper put forward a novel decision support framework of Tibetan medicine treatment innovatively based on the above problem, which aims to realize the personalized treatment of Tibetan medicine and provide effective support for the scientific treatment of common diseases of Tibetan plateau further.

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References

  1. Luo, H., Zhong, G.: Status survey of clinical literature on Tibetan medicine in China. Chin. Tibet. (04), 156–161 (2013)

    Google Scholar 

  2. Zhang, M.: The pertinence and applicability of informatization technology in the research of Tibetan medicine. Sci. Technol. Inf. (28) (2012)

    Google Scholar 

  3. Ren, X.: Reflections on the clinical research methods of Tibetan medicine. Chin. J. Tradit. Chin. Med. 20(01), 8–11 (2013)

    Google Scholar 

  4. Dawa, T.: The significance and thoughts of Clinical research on Tibetan medicine. World Med. Technol. TCM Mod. 15(05), 1019–1022 (2013)

    Google Scholar 

  5. Hong, S., Zhuang, Y., Li, K.: Data Mining Technology and Engineering Practice. Mechanical Industry Press, Beijing (2014)

    Google Scholar 

  6. Bai, T.: Research on the Clustering Method of Biomedical Data. Computer Science and Technology of Jilin University, Jilin (2012)

    Google Scholar 

  7. Zhou, D., Zhao, J., Mou, X., Liu, W., Zhou, D., Liu, Y., Ma, G., Hu, Y., Shou, C., Chen, J., Wang, S.: Based on the “disease” in clustering analysis of syndromes in type 2 diabetes. Chin. J. Tradit. Chin. Med. 27(12), 3121–3124 (2012)

    Google Scholar 

  8. Zuo, Y.: Application of Data Mining in Medical Data Analysis. National University of Defense Technology, Changsha, Hunan (2007)

    Google Scholar 

  9. Ou, F., Wang, Z.: Application of data mining technology based on association rules in TCM diagnosis. J. Henan Inst. Eng. (Nat. Sci. Ed.) 02, 53–58 (2011)

    Google Scholar 

  10. Li, W.: Research on Data Mining Based on Medical Information Data Warehouse. Medical Examination Department of Chongqing Medical University, Chongqing (2009)

    Google Scholar 

  11. Zhu, L., Wu, B., Cao, C.: Techniques, methods and applications of medical data mining. J. Biomed. Eng. (03), 559–562 (2003)

    Google Scholar 

  12. Huang, Y.: Research Development on Tibetan Medicine Prevention and Treatment of High Altitude Polycythemia. Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology (2015)

    Google Scholar 

  13. CaiRang, N., RenZeng, D., DuoJie, C., LuoSang, D., Li, X.: The application of data mining technology in the study of the compatibility rule of Tibetan medicine prescription. Chin. J. Tradit. Chin. Med. 37(16), 236–2367 (2012)

    Google Scholar 

  14. Xun, W., Sun, W., Wang, Z., Liu, G., Liang, Y.: The comparison and analysis of the modern research progress of RNSP and 25-flavor pearl pill based on literature data mining. J. China Natl. Folk. Med. 26(04), 59–63 (2017)

    Google Scholar 

  15. Sun, X., Chen, J., Li, X.: Clinical and experimental study on the treatment of viral hepatitis by Tibetan medicine. J. Chin. Natl. Med. 8(02), 17–19 (2002)

    Google Scholar 

  16. Nie, J., Zhang, Y., Deng, D., JiangYong, S.: Collection and sorting of the classical literature of Tibetan medicine and the model research of data mining. Chin. Folk. Med. (04), 1–2 (2015)

    Google Scholar 

  17. Ou, Y.: A Comparative Study of TIBETAN BLood and Moxibustion Therapy Based on Data Mining. Beijing University of Chinese Medicine, Beijing (2011)

    Google Scholar 

  18. Zhou, S., Xu, Z., Tang, X.: A new k-means algorithm was used to determine the optimal cluster number. Comput. Eng. Appl. (16), 27–31 (2010)

    Google Scholar 

  19. Ying, W., Yao, C.L.: Application of improved K-Means clustering algorithm in transit data collection. In: 20103rd International Conference on Biomedical Engineering and Informatics (BMET) (2010)

    Google Scholar 

  20. Zhu, Y., Li, Y., Cui, M., Yang, X.: A clustering algorithm for improving k-means algorithm CARDBK. Comput. Sci. 42(03), 201–205 (2015)

    Google Scholar 

  21. Zanaty, E.A.: Determining the number of clusters for kernelized fuzzy C-means algorithms for automatic medical image segmentation. Egypt. Inform. J. 13(1), 39–58 (2012)

    Article  Google Scholar 

  22. Qi, M., Zhang, H.: Improved fuzzy c-means clustering algorithm. Comput. Eng. Appl. (20), 133–135 (2009)

    Google Scholar 

  23. Wang, G., Wang, G.: Improved fast DBSCAN algorithm. Comput. Appl. (09), 2505–2508 (2009)

    Article  Google Scholar 

  24. Kumar, K.M., Reddy, A.R.M.: A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method. Pattern Recogn. 58, 39–48 (2016)

    Article  Google Scholar 

  25. Wang, L.: Study on clustering method based on hierarchical clustering. Hebei University (2010)

    Google Scholar 

  26. CaiRang, N., RenZeng, D.: Based on data mining, the four medical book classics of Tibetan medicine were used to treat the compatibility of hot liver disease prescription. China Exp. Formul. J. (10), 216–219 (2015)

    Google Scholar 

  27. Guo, H., Ren, X., Mao, M., Wang, M., NiMa, C., Dun, Z., Dawa, T.: Study on the law of drug use in Tibetan long lag brucella patterns (cerebral infarction) based on association rules. World Sci. Technol. Mod. Chin. Med. (04), 594–599 (2016)

    Google Scholar 

  28. Yang, W., Ze, W., Yong, Z., Zhang, Y., Geng, Z., Nie, J.: Analysis of the rules of the medicine of the Tibetan medicine based on data mining (06), 1207–1212 (2017)

    Google Scholar 

  29. Ren, X., Mao, M., Guo, H., Wang, M., Wu, H.: The theory of Tibetan medicine and its implications for the theoretical study of modern Tibetan medicine. World Sci. Technol. Mod. Chin. Med. (09), 1911–1916 (2015)

    Google Scholar 

  30. Tong, L., De, L., PengMao, Z., Yang, F., ReZeng, C., SuoNan, D.: Based on data mining platform of Tibetan medicine and lung disease system. Chin. J. Natl. Med. (07), 60–62 (2011)

    Google Scholar 

  31. Wang, S., Zhang, L., Wang, L., Cairang, N., Zhu, X., Li, H., Wang, X.: Research on syndromic Prediction Model of Tibetan Medicine Diagnosis and Treatment Based on Data Mining. In: 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITis2016), pp. 497–502 (2016)

    Google Scholar 

  32. Tan, W., Wang, X., Xi, J., Wang, J.: Research on the diagnosis method of diseases based on BP neural network model. Comput. Eng. Des. (03), 1070–1073 (2011)

    Google Scholar 

  33. Huang, L.: Improvement and application of BP neural network algorithm. Chongqing Normal University (2008)

    Google Scholar 

  34. Li, Y., Liu, Z., Zhang, H.: An overview of the integrated classification algorithm for unbalanced data. Comput. Appl. Res. 05, 1287–1291 (2014)

    Google Scholar 

  35. Guo, H., Yuan, J., Zhang, F., Wu, C., Fan, M.: A new method of combined classifier learning. Comput. Sci. 41(07), 283–289 (2014)

    Google Scholar 

  36. Hou, L., Huang, L., Li, J.: Discussion on the construction of ontology based clinical medicine knowledge base system. In: The 24th National Conference on Computer Information Management, no. 11, pp. 42–47 (2010)

    Google Scholar 

Download references

Acknowledgments

This paper is partially supported by The National Natural Science Foundation of China (No. 61563044, 71702119, 61762074, 81460768); National Natural Science Foundation of Qinghai Province (2017-ZJ-902); Open Research Fund Program of State key Laboratory of Hydroscience and Engineering (No. sklhse-2017-A-05).

Author information

Authors and Affiliations

  1. State Key Laboratory of Plateau Ecology and Agriculture, Department of Computer Technology and Applications, Qinghai University, Xining, 810016, China

    Lei Zhang, Xiaolan Zhu, Shiying Wang & Lu Wang

  2. College of Computer Science, Information Management Center, Sichuan University, Chengdu, 610065, China

    Lei Zhang

Authors
  1. Lei Zhang
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  2. Xiaolan Zhu
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  3. Shiying Wang
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  4. Lu Wang
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Corresponding author

Correspondence to Xiaolan Zhu .

Editor information

Editors and Affiliations

  1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Sweden

    Ning Xiong

  2. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Zheng Xiao

  3. School of Computer Science, Hunan Normal University, Changsha, Hunan, China

    Zhao Tong

  4. Hunan University of Chinese Medicine, School of Computer Science, Changsha, Hunan, China

    Jiayi Du

  5. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  6. Design and Physical Sciences Brunel, Electronic and Computer Engineering, College of Engineering, Uxbridge, Middlesex, UK

    Maozhen Li

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Zhang, L., Zhu, X., Wang, S., Wang, L. (2019). Review of Tibetan Medical Data Mining. In: Xiong, N., Xiao, Z., Tong, Z., Du, J., Wang, L., Li, M. (eds) Advances in Computational Science and Computing. ISCSC 2018 2018. Advances in Intelligent Systems and Computing, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-030-02116-0_31

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