Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method

Zhao-xia Xu; Jin Xu; Jian-jun Yan; Yi-qin Wang; Rui Guo; Guo-ping Liu; Hai-xia Yan; Peng Qian; Yu-jian Hong

doi:10.1007/s11655-014-1822-6

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Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method

Updated：2021-08-27

- Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method
- Chinese Journal of Integrative Medicine Vol. 21, Issue 3, Pages: 217-222(2015)
- Affiliations：
  
  1. School of Basic Medicine, Shanghai University of Traditional Chinese Medicine,Shanghai,China
  2. Center for Mechanical and Engineering, East China University of Science and Technology,Shanghai,China
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 81173199)
- DOI：10.1007/s11655-014-1822-6
  CLC：
- Published：2015，
  
  Published Online：30 July 2014，
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Xu, Zx., Xu, J., Yan, Jj. et al. Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method., Chin. J. Integr. Med. 21, 217–222 (2015). https://doi.org/10.1007/s11655-014-1822-6

Zhao-xia Xu, Jin Xu, Jian-jun Yan, et al. Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method. [J]. Chinese Journal of Integrative Medicine 21(3):217-222(2015)
Xu, Zx., Xu, J., Yan, Jj. et al. Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method., Chin. J. Integr. Med. 21, 217–222 (2015). https://doi.org/10.1007/s11655-014-1822-6 DOI：

Zhao-xia Xu, Jin Xu, Jian-jun Yan, et al. Analysis of the diagnostic consistency of Chinese medicine specialists in cardiovascular disease cases and syndrome identification based on the relevant feature for each label learning method. [J]. Chinese Journal of Integrative Medicine 21(3):217-222(2015) DOI： 10.1007/s11655-014-1822-6.

摘要

To analyze the diagnostic consistency of Chinese medicine (CM) specialists in patients with cardiovascular disease and to study syndrome classification and identification based on the multi-label learning method. Using self-developed CM clinical scales to collect cases

inquiry information

complexity

tongue manifestation and pulse manifestation were assessed. The number of cases collected was 2

218. Firstly

each case was differentiated by two CM specialists according to the same diagnostic criteria. The consistency of the diagnosis based on Cohen’s Kappa coefficient was analyzed. Secondly

take the same diagnosis syndromes of two specialists as the results of the cases. According to injury information in the CM scale “yes” or “no” was assigned “1” or “0”

and according to the syndrome type in each case “yes” or “no” was assigned “1” or “0”. CM information data on cardiovascular disease cases were established. We studied CM syndrome classification and identification based on the relevant feature for each label (REAL) learning method

and the diagnostic rate of the syndrome was studied using the REAL method when the number of features selected was 5

and 100

respectively. The syndromes with good diagnostic consistency were Heart (Xin)-qi deficiency

Heart-yang deficiency

Heart-yin deficiency

phlegm

stagnation of blood and stagnation of qi. Syndromes with poor diagnostic consistency were heartblood deficiency and blood deficiency of Heart and Liver (Gan). The highest diagnostic rates using the REAL method were Heart-yang deficiency followed by Heart-qi deficiency. A different number of features

such as 5

and 100

respectively

were selected and the diagnostic accuracy based on five features showed the highest diagnostic accuracy. The top five features which had a strong correlation with the syndromes were in accordance with the CM theory. CM syndrome differentiation is strongly subjective and it is difficult to obtain good diagnostic consistency. The REAL method fully considers the relationship between syndrome types and injury symptoms

and is suitable for the establishment of models for CM syndrome classification and identification. This method can probably provide the prerequisite for objectivity and standardization of CM differentiation.

Abstract

inquiry information

complexity

tongue manifestation and pulse manifestation were assessed. The number of cases collected was 2

218. Firstly

each case was differentiated by two CM specialists according to the same diagnostic criteria. The consistency of the diagnosis based on Cohen’s Kappa coefficient was analyzed. Secondly

take the same diagnosis syndromes of two specialists as the results of the cases. According to injury information in the CM scale “yes” or “no” was assigned “1” or “0”

and the diagnostic rate of the syndrome was studied using the REAL method when the number of features selected was 5

and 100

respectively. The syndromes with good diagnostic consistency were Heart (Xin)-qi deficiency

Heart-yang deficiency

Heart-yin deficiency

phlegm

such as 5

and 100

respectively

关键词

diagnosis consistencysyndromes classificationsyndromes identificationcardiovascular diseaserelevant feature for each label learning method

Keywords

diagnosis consistencysyndromes classificationsyndromes identificationcardiovascular diseaserelevant feature for each label learning method

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