Supported by the National Natural Science Foundation of China (No. 81273817) and the Program of Guangdong Province Administration of Traditional Chinese Medicine (No. 20121225)
Liu, Sj., Huang, Zs., Wu, Qg. et al. Study on diagnosis criteria of fire-heat syndrome based on receiver operating characteristic curve and principal component analysis., Chin. J. Integr. Med. 22, 258–266 (2016). https://doi.org/10.1007/s11655-014-1897-0
Si-jun Liu, Zhao-sheng Huang, Qing-guang Wu, et al. Study on diagnosis criteria of fire-heat syndrome based on receiver operating characteristic curve and principal component analysis[J]. Chinese Journal of Integrative Medicine, 2016,22(4):258-266.
Liu, Sj., Huang, Zs., Wu, Qg. et al. Study on diagnosis criteria of fire-heat syndrome based on receiver operating characteristic curve and principal component analysis., Chin. J. Integr. Med. 22, 258–266 (2016). https://doi.org/10.1007/s11655-014-1897-0DOI:
Si-jun Liu, Zhao-sheng Huang, Qing-guang Wu, et al. Study on diagnosis criteria of fire-heat syndrome based on receiver operating characteristic curve and principal component analysis[J]. Chinese Journal of Integrative Medicine, 2016,22(4):258-266. DOI: 10.1007/s11655-014-1897-0.
Study on diagnosis criteria of fire-heat syndrome based on receiver operating characteristic curve and principal component analysis
摘要
To establish the diagnostic quantitative criteria for fire-heat syndrome (FHS) of Chinese medicine (CM) based on the receiver operating characteristic (ROC) curve and principal component analysis (PCA). The symptoms and signs of FHS cases and healthy subjects from Guangzhou
Henan and Hunan of China were collected through questionnaire
and the diagnostic quantitative score tables were established for the three regions
respectively
with the method of maximum likelihood analysis. The homogeneity test was then performed on the diagnostic score tables for the three regions with ROC curve
and the diagnostic efficiency of diagnostic score tables for the three regions was compared with the prospective test and retrospective test. The method of PCA was adopted to obtain the analysis matrix for classifying the tapes of FHS. Twenty-seven elements of FHS were confirmed through Chi-square test
and the diagnostic score tables for the three regions were established with the method of maximum likelihood analysis on the basis of the collected case data. According to the ROC curve test
the areas under ROC curve of Guangzhou diagnostic score table assessment with candidates in Guangzhou
Henan and Hunan were 0.998
0.961 and 0.956
respectively. It showed that the diagnostic efficiency of Guangzhou diagnostic score tables was the highest one. With the prospective test
the area under ROC of Guangzhou diagnostic score table was 0.949
and more than any other diagnostic score table. By PCA
FHS was classified into excess fire and deficiency fire
and then classified into syndrome of flaring up of Heart (Xin) fire
syndrome of Lung (Fei)-Stomach (Wei) excess fire
syndrome of deficiency of Liver (Gan)-yin and Kidney (Shen)-yin
and syndrome of deficiency of Lung-yin from the view of viscera. In the retrospective test
the consistency with clinicians' diagnosis was 69.4%
and in the prospective test
it was 70.1%. The Guangzhou diagnostic score table could be used as the recommended criteria for the diagnosis of FHS. The classification of FHS was basically in conformity with the clinical situation.
Abstract
To establish the diagnostic quantitative criteria for fire-heat syndrome (FHS) of Chinese medicine (CM) based on the receiver operating characteristic (ROC) curve and principal component analysis (PCA). The symptoms and signs of FHS cases and healthy subjects from Guangzhou
Henan and Hunan of China were collected through questionnaire
and the diagnostic quantitative score tables were established for the three regions
respectively
with the method of maximum likelihood analysis. The homogeneity test was then performed on the diagnostic score tables for the three regions with ROC curve
and the diagnostic efficiency of diagnostic score tables for the three regions was compared with the prospective test and retrospective test. The method of PCA was adopted to obtain the analysis matrix for classifying the tapes of FHS. Twenty-seven elements of FHS were confirmed through Chi-square test
and the diagnostic score tables for the three regions were established with the method of maximum likelihood analysis on the basis of the collected case data. According to the ROC curve test
the areas under ROC curve of Guangzhou diagnostic score table assessment with candidates in Guangzhou
Henan and Hunan were 0.998
0.961 and 0.956
respectively. It showed that the diagnostic efficiency of Guangzhou diagnostic score tables was the highest one. With the prospective test
the area under ROC of Guangzhou diagnostic score table was 0.949
and more than any other diagnostic score table. By PCA
FHS was classified into excess fire and deficiency fire
and then classified into syndrome of flaring up of Heart (Xin) fire
syndrome of Lung (Fei)-Stomach (Wei) excess fire
syndrome of deficiency of Liver (Gan)-yin and Kidney (Shen)-yin
and syndrome of deficiency of Lung-yin from the view of viscera. In the retrospective test
the consistency with clinicians' diagnosis was 69.4%
and in the prospective test
it was 70.1%. The Guangzhou diagnostic score table could be used as the recommended criteria for the diagnosis of FHS. The classification of FHS was basically in conformity with the clinical situation.
关键词
receiver operating characteristic curveprincipal component analysisdiagnostic criteriafire-heat syndromeChinese Medicine
Keywords
receiver operating characteristic curveprincipal component analysisdiagnostic criteriafire-heat syndromeChinese Medicine
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相关作者
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相关机构
School of Traditional Chinese Medical Sciences, Southern Medical University
School of Pharmacy, Guangdong Pharmaceutical University
Department of Traditional Chinese Medicine Pharmaceutics, Guangdong Second Traditional Chinese Medicine Hospital
Guangdong Provincial Key Laboratory of Research and Development of Traditional Chinese Medicine, Guangdong Province Engineering, Technology Research Institute of Traditional Chinese Medicine