A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning.

OBJECTIVE: To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse. METHODS: We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome (n = 163), patients with Yin deficiency syndrome (n = 174), and healthy controls (n = 185) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse. Four machine learning methods, namely, random forest, logistic regression, support vector machine, and neural network, were used to establish the classification models based on symptom, tongue and pulse, and symptom and tongue and pulse, respectively. RESULTS: Significant difference indices of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll, and the tongue coating texture indices including TC-CON, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indices of pulse diagnosis were t4 and t5. The classification performance of each model based on different datasets was as follows: tongue and pulse < symptom < symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806. CONCLUSIONS: It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficiency syndrome of non-small-cell lung cancer.

[Chinese medical syndromes of rheumatoid arthritis: a clinical literature study].

OBJECTIVE: To explore the distribution features of Chinese medical syndromes of rheumatoid arthritis (RA) by literature retrieval. METHODS: Pertinent articles on treating RA by syndrome differentiation were retrieved from China National Knowledge Infrastructure Databases (CNKI), VIP Chinese Biomedical Journal Database, Guizhou Digital Library, and Duxiu Chinese Academic Periodicals full papers database from January 2000 to December 2011. RESULTS: A total of 33 documents were recruited covering 4 233 cases. Damp-heat blocking collaterals syndrome occupied the top in the occurrence frequency (20 times, 60.61%), followed by deficiency of Gan and Shen syndrome (18 times, 54.55%), intermingled phlegm and blood-stasis syndrome (17 times, 51.52%), wind-cold-damp impediment syndrome (15 times, 45.45%), cold-damp blocking collaterals syndrome (14 times, 42.42%), wind-damp-heat impediment and deficiency of qi and blood syndrome (10 times, 30.30%), and intermingled cold and heat syndrome (9 times, 27.27%). According to the case number of patients, it was sequenced as damp-heat blocking collaterals syndrome syndrome (768 cases, 18.14%), wind-damp-heat impediment syndrome(666 cases, 15.73%), wind-cold-damp impediment syndrome(584 cases, 13.80%), cold-damp blocking collaterals syndrome syndrome (517 cases, 12.21%), intermingled cold and heat syndrome (415 cases, 9.80%), intermingled phlegm and blood-stasis syndrome (364 cases, 8.60%), deficiency of Gan and Shen syndrome (235 cases, 5.55%),asthenia of healthy energy due to lingering arthralgia syndrome (223 cases, 5.27%). The case numbers of remaining syndromes did not exceed 5%. CONCLUSION: Damp-heat blocking collaterals syndrome was the main syndrome in RA patients, followed by wind-cold-damp impediment syndrome,wind-damp-heat impediment syndrome,cold-damp blocking collaterals syndrome,intermingled phlegm and blood-stasis syndrome, and deficiency of Gan and Shen syndrome.

Association of APOE polymorphisms and insulin resistance with TCM syndromes in type 2 diabetes patients with macroangiopathy.

To investigate the association between apolipo-protein E (APOE) polymorphisms and insulin resistance and Traditional Chinese Medicine (TCM) syndromes in type 2 diabetes mellitus (T2DM) with macroangiopathy, 60 patients with T2DM macroangiopathy were enrolled and divided into three groups: dryness-heat due to deficiency of yin, Qi-Yin deficiency, and Yin-Yang deficiency, according to the TCM syndromes, with a control group of 20 healthy individuals. APOE genotype analysis was performed with polymerase chain reaction amplification and restriction fragment length polymorphism, and the results showed that the proportion of the ε4/4 and ε3/4 genotypes and frequencies of the ε4 and ε3 alleles were higher in the Qi-Yin deficiency group (P<0.05). Among the T2DM macroangiopathy patients, the E4 group had the largest number of cases, as well as a significantly longer disease course compared to the E2 group (P<0.05). The insulin resistance index (IRI), insulin action index and body mass index (BMI) of patients in the Yin-Yang deficiency group were significantly different from those of patients with dryness-heat due to deficiency of yin and Qi-Yin deficiency. Furthermore, correlation analysis of the BMI and IRI of patients in the Yin-Yang deficiency group revealed a correlation coefficient r=0.696 (P<0.01) and a typical correlation between them. In conclusion, the Qi-Yin deficiency in T2DM patients with macroangiopathy is associated with the APOE E4 and E3 genotypes. Thus, the APOE gene polymorphism can, to some degree, reflect the TCM syndrome types of T2DM patients with macroangiopathy. Insulin resistance plays an important role in the occurrence of T2DM macroangiopathy and is closely associated with the Yin-Yang deficiency according to the TCM differentiating types.