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Journal of Chinese Integrative Medicine ›› 2008, Vol. 6 ›› Issue (11): 1122-1128.doi: 10.3736/jcim20081105

• Original Clinical Research • Previous Articles     Next Articles

Classification and modeling of traditional Chinese medicine syndromes in patients with posthepatitic cirrhosis by partial least-squares

Lei Wang1, Yue Su2, Qin Zhang3, Ping Liu1(), Shi-bing Su2   

  1. 1. Institute of Liver Diseases, E-institute of Shanghai Traditional Chinese Medicine, Key Laboratory for Liver-Kidney Disease Pattern of Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    2. Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    3. Department of Integrated Traditional Chinese and Western Medicine,Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
  • Received:2008-05-20 Online:2008-11-20 Published:2008-11-15


To investigate the classification and modeling of traditional Chinese medicine (TCM) syndromes in posthepatitic cirrhosis by partial least-squares (PLS) method, and to study the clinical application of PLS method in TCM research.


Inclusion criteria, exclusion criteria and criteria for harvesting and inputting of the biological information such as symptoms, signs, tongue, pulse and biological parameters were established. Stepwise regression was used to analyze the clinical information, including clinical symptoms and biological parameters obtained from 278 patients with posthepatitic cirrhosis by clinical epidemiological approach. TCM syndrome types were set up as dependent variable matrix, and the related clinical information was screened by stepwise regression as independent variable matrix. With the column maximization, all the variables were transformed into the PLS program. Mathematical models were obtained by Leave-One-Out in PLS program.


The determination coefficients R 2 of 5 regression equations were above 0.7. The practical accuracy rates of the models in TCM patterns including liver stagnation and spleen asthenia, liver-kidney yin deficiency, spleen-kidney yang deficiency, retention of dampness-heat, and blood stasis-heat accumulation were 74.02%, 68.71%, 92.45%, 84.17% and 70.50% by PLS, respectively.


The utilization of clinical information can be improved by PLS, which is definitely useful in the classification and modeling of TCM complicated syndromes.

Key words: hepatitis, liver cirrhosis, symptom complex, mathematics, models, partial least-squares

CLC Number: 

  • R311

Table 1

Summary of stepwise regression"

Sydrome type Dependent variables on R2 Residual standard deviation F
Liver stagnation and spleen asthenia 0.714 0.239 13.403
Liver-kidney yin deficiency 0.825 0.231 24.767
Spleen-kidney yang deficiency 0.751 0.161 24.370
Retention of dampness-heat 0.845 0.260 43.843
Blood stasis-heat accumulation 0.756 0.263 16.299

Table 2

Practical accuracy rate of pattern differentiation of traditional Chinese medicine sydrome[Cases (%)]"

Syndrome type Sample content
56 56 56 55 55 278
Liver stagnation and spleen asthenia
Accuracy 38(67.86) 47(83.93) 43(76.79) 37(67.27) 38(69.09) 203(73.02)
Inaccuracy 18(32.14) 9(16.07) 13(23.21) 18(32.73) 17(30.91) 75(26.98)
Liver-kidney yin deficiency
Accuracy 38(67.86) 38(67.86) 38(67.86) 38(69.09) 39(70.91) 191(68.71)
Inaccuracy 18(32.14) 18(32.14) 18(32.14) 17(30.91) 16(29.09) 87(31.29)
Spleen-kidney yang deficiency
Accuracy 54(96.43) 51(91.07) 51(91.07) 52(94.55) 49(89.09) 257(92.45)
Inaccuracy 2(3.57) 5(8.93) 5(8.93) 3(5.45) 6(10.91) 21(7.55)
Retention of dampness-heat
Accuracy 48(85.71) 46(82.14) 46(82.14) 46(83.64) 48(87.27) 234(84.17)
Inaccuracy 8(14.29) 10(17.86) 10(17.86) 9(16.36) 7(12.73) 44(15.83)
Blood stasis-heat accumulation
Accuracy 46(82.14) 40(71.43) 34(60.71) 34(61.82) 37(67.27) 191(68.71)
Inaccuracy 10(17.86) 16(28.57) 22(39.29) 21(38.18) 18(32.73) 87(31.29)
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