Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Jul 20:10:37.
doi: 10.1186/1472-6882-10-37.

Modelling of inquiry diagnosis for coronary heart disease in Traditional Chinese Medicine by using multi-label learning

Guo-Ping Liu  1 , Guo-Zheng Li, Ya-Lei Wang, Yi-Qin Wang
Affiliations

Modelling of inquiry diagnosis for coronary heart disease in Traditional Chinese Medicine by using multi-label learning

Guo-Ping Liu et al. BMC Complement Altern Med. .

Abstract

Background: Coronary heart disease (CHD) is a common cardiovascular disease that is extremely harmful to humans. In Traditional Chinese Medicine (TCM), the diagnosis and treatment of CHD have a long history and ample experience. However, the non-standard inquiry information influences the diagnosis and treatment in TCM to a certain extent. In this paper, we study the standardization of inquiry information in the diagnosis of CHD and design a diagnostic model to provide methodological reference for the construction of quantization diagnosis for syndromes of CHD. In the diagnosis of CHD in TCM, there could be several patterns of syndromes for one patient, while the conventional single label data mining techniques could only build one model at a time. Here a novel multi-label learning (MLL) technique is explored to solve this problem.

Methods: Standardization scale on inquiry diagnosis for CHD in TCM is designed, and the inquiry diagnostic model is constructed based on collected data by the MLL techniques. In this study, one popular MLL algorithm, ML-kNN, is compared with other two MLL algorithms RankSVM and BPMLL as well as one commonly used single learning algorithm, k-nearest neighbour (kNN) algorithm. Furthermore the influence of symptom selection to the diagnostic model is investigated. After the symptoms are removed by their frequency from low to high; the diagnostic models are constructed on the remained symptom subsets.

Results: A total of 555 cases are collected for the modelling of inquiry diagnosis of CHD. The patients are diagnosed clinically by fusing inspection, pulse feeling, palpation and the standardized inquiry information. Models of six syndromes are constructed by ML-kNN, RankSVM, BPMLL and kNN, whose mean results of accuracy of diagnosis reach 77%, 71%, 75% and 74% respectively. After removing symptoms of low frequencies, the mean accuracy results of modelling by ML-kNN, RankSVM, BPMLL and kNN reach 78%, 73%, 75% and 76% when 52 symptoms are remained.

Conclusions: The novel MLL techniques facilitate building standardized inquiry models in CHD diagnosis and show a practical approach to solve the problem of labelling multi-syndromes simultaneously.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Results of average_precision obtained in syndrome models by using ML-kNN, RankSVM, BPMLL and kNN with k = 5
Figure 2
Figure 2
Results of syndrome models for inquiry diagnosis on whole labels by using ML-kNN and kNN with different k values
Figure 3
Figure 3
Results of syndrome models for inquiry diagnosis on each label by using ML-kNN and kNN with different k values
Figure 4
Figure 4
Results of syndrome models for inquiry diagnosis on each label by using ML-kNN, kNN, RankSVM and BPMLL with different symptom subsets
See this image and copyright information in PMC

References

    1. Zhang S, Song YQ, Yue W. Multicentric randomized double blinded clinical study of Yiqi Tongmai Oral Liquid against angina pectoris in patients with coronary heart disease. Chinese Journal of Integrated Traditional and Western Medicine. 2007;5(4):383–391. - PubMed
    1. Li JB, Zhu WF. My thinking on the disease name of TCM and its differentiation diagnosis standardization of CHD. Hunan Journal of Traditional Chinese Medicine. 1994;10(6):24.
    1. Jia ZH, Li YS, Wu YL. Application of entuopy-based complex systems partition method in research on quantizing TCM sydrome diagnostic criteria of angina petoris. Chinese Journal of Integrated Traditional and Western Medicine. 2007;27(9):804–806. - PubMed
    1. Wang J, Chen KJ. A survey on signs and symptoms about blood stasis syndrome. Liaoning Journal of Traditional Chinese Medicine. 1990;14(5):45–48.
    1. Wang J, Chen KJ, Song XH. Objectified study of abdomen diagnosis on blood stasis syndrome, Chinese. Journal of Integrated Traditional and Western Medicine. 1996;16(10):596–599.

Publication types

LinkOut - more resources