Syndrome classification based on manifold ranking for viral hepatitis

Yu-feng Zhao; Li-yun He; Bao-yan Liu; Jun Li; Feng-yi Li; Rui-li Huo; Xiang-hong Jing

doi:10.1007/s11655-013-1659-4

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Syndrome classification based on manifold ranking for viral hepatitis

Updated：2021-08-27

- Syndrome classification based on manifold ranking for viral hepatitis
- Chinese Journal of Integrative Medicine Vol. 20, Issue 5, Pages: 394-399(2014)
- Affiliations：
  
  1. Clinical Evaluation Center, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences,Beijing,China
  2. China Academy of Chinese Medical Sciences,Beijing,China
  3. Infectious Disease Clinics and Research Centers, People’s Liberation Army Hospital,Beijing,China,302
  4. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences,Beijing,China
- Author bio：
- Funds：
  
  Supported by National Natural Science Foundation of China (No. 81202858), National Key Technology Support Program (No. 2012BAI25B02), Self-selected Subject of China Academy of Chinese Medical Sciences (No. ZZ05003, No. ZZ03090, No. Z0217) and the Beijing Key Laboratory of Advanced Information Science and Network Technology (No. XDXX1306)
- DOI：10.1007/s11655-013-1659-4
  CLC：
- Published：2014，
  
  Published Online：30 October 2013，
Scan for full text
Zhao, Yf., He, Ly., Liu, By. et al. Syndrome classification based on manifold ranking for viral hepatitis., Chin. J. Integr. Med. 20, 394–399 (2014). https://doi.org/10.1007/s11655-013-1659-4

Yu-feng Zhao, Li-yun He, Bao-yan Liu, et al. Syndrome classification based on manifold ranking for viral hepatitis. [J]. Chinese Journal of Integrative Medicine 20(5):394-399(2014)
Zhao, Yf., He, Ly., Liu, By. et al. Syndrome classification based on manifold ranking for viral hepatitis., Chin. J. Integr. Med. 20, 394–399 (2014). https://doi.org/10.1007/s11655-013-1659-4 DOI：

Yu-feng Zhao, Li-yun He, Bao-yan Liu, et al. Syndrome classification based on manifold ranking for viral hepatitis. [J]. Chinese Journal of Integrative Medicine 20(5):394-399(2014) DOI： 10.1007/s11655-013-1659-4.

摘要

Treatment determination based on syndrome differentiation is the key of Chinese medicine. A feasible way of improving the clinical therapy effectiveness is needed to correctly differentiate the syndrome classifications based on the clinical manifestations. In this paper

a novel data mining method based on manifold ranking (MR) is proposed to explore the relation between syndromes and symptoms for viral hepatitis. Since MR could take the symptom data with expert differentiation and the symptom data without expert differentiation into the task of syndrome classification

the clinical information used for modeling the syndrome features is greatly enlarged so as to improve the precise of syndrome classification. In addition

the proposed method of syndrome classification could also avoid two disadvantages in previous methods: linear relation of the clinical data and mutually exclusive symptoms among different syndromes. And it could help exploit the latent relation between syndromes and symptoms more effectively. Better performance of syndrome classification is able to be achieved according to the experimental results and the clinical experts.

Abstract

the clinical information used for modeling the syndrome features is greatly enlarged so as to improve the precise of syndrome classification. In addition

关键词

Chinese Medicinesyndrome classificationdata miningmanifold ranking

Keywords

Chinese Medicinesyndrome classificationdata miningmanifold ranking

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