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[Prescription and medication regularity of traditional Chinese medicine for treating child pneumonia based on data mining].
Zhongguo Zhong Yao Za Zhi. 2020 Apr; 45(8):1942-1947.ZZ

Abstract

To analyze and summarize formulae of traditional Chinese medicine(TCM) in the treatment of pediatric pneumonia in CNKI based on the data mining method. CNKI was retrieved for literatures of TCM treatment of pneumonia in children in recent 20 years, which was taken the data source. After screening, a prescription database was established. Frequency analysis, association rules Apriori algorithm and complex system entropy clustering analysis methods integrated in TCMISS(V2.5) were applied in data analysis and mining. Core drugs and their properties and flavors, medication modes and new prescriptions were summarized and studied. A total of 408 prescriptions were screened out, involving 218 drugs, among which Chinese herbal medicines with the highest use frequency included Gancao(Glycyrrhizae Radix et Rhizoma), Xingren(Armeniacae Semen Amarum), Huangqin(Scutellariae Radix), Mahuang(Ephedrae Herba), Jiegeng(Platycodonis Radix), Banxia(Pinelliae Rhizoma), Sangbaipi(Mori Cortex), Chenpi(Citri Reticulatae Pericarpium), Fuling(Poria), Jinyinhua(Japonicae Lonicerae Flos). Flavors were mainly bitter, sweet and pungent; and the main medicinal property was cold. Most of these drugs entered lung meridian(LU), stomach meridian(ST) and spleen meridian(SP); and the association rules between drugs were established. Totally 6 new prescriptions were obtained through entropy hierarchical cluster analysis. Our results objectively presented, at present, TCM focuses on phlegm and heat in treating children's pneumonia, which targets at lung and also treats spleen and stomach. The main therapies aim to clear heat and resolve phlegm, ventilate lung and relieve cough and dyspnea, release exterior and dissipate cold, and relieve cough and eliminate phlegm. The results of statistical analysis are basically consistent with the consensus of experts, which can provide theoretical basis for clinical medication and drug development.

Authors+Show Affiliations

Changchun University of Chinese Medicine Changchun 130117, China.Changchun University of Chinese Medicine Changchun 130117, China.Changchun University of Chinese Medicine Changchun 130117, China.Changchun University of Chinese Medicine Changchun 130117, China.Changchun University of Chinese Medicine Changchun 130117, China.Changchun University of Chinese Medicine Changchun 130117, China.Child Care Centre, Affiliated Hospital of Changchun University of Chinese Medicine Changchun 130021, China.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

32489081

Citation

Yang, Fu-Shuang, et al. "[Prescription and Medication Regularity of Traditional Chinese Medicine for Treating Child Pneumonia Based On Data Mining]." Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, vol. 45, no. 8, 2020, pp. 1942-1947.
Yang FS, Gao F, Tan TH, et al. [Prescription and medication regularity of traditional Chinese medicine for treating child pneumonia based on data mining]. Zhongguo Zhong Yao Za Zhi. 2020;45(8):1942-1947.
Yang, F. S., Gao, F., Tan, T. H., Xu, Y., Cao, F., Wang, Z. T., & Sun, L. P. (2020). [Prescription and medication regularity of traditional Chinese medicine for treating child pneumonia based on data mining]. Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, 45(8), 1942-1947. https://doi.org/10.19540/j.cnki.cjcmm.20190902.501
Yang FS, et al. [Prescription and Medication Regularity of Traditional Chinese Medicine for Treating Child Pneumonia Based On Data Mining]. Zhongguo Zhong Yao Za Zhi. 2020;45(8):1942-1947. PubMed PMID: 32489081.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Prescription and medication regularity of traditional Chinese medicine for treating child pneumonia based on data mining]. AU - Yang,Fu-Shuang, AU - Gao,Fa, AU - Tan,Tian-Hui, AU - Xu,Yan, AU - Cao,Fang, AU - Wang,Zhong-Tian, AU - Sun,Li-Ping, PY - 2020/6/4/entrez PY - 2020/6/4/pubmed PY - 2020/9/18/medline KW - Chinese herbal medicine KW - child pneumonia KW - composing principles of prescriptions KW - data mining KW - traditional Chinese medicine inheritance support system SP - 1942 EP - 1947 JF - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica JO - Zhongguo Zhong Yao Za Zhi VL - 45 IS - 8 N2 - To analyze and summarize formulae of traditional Chinese medicine(TCM) in the treatment of pediatric pneumonia in CNKI based on the data mining method. CNKI was retrieved for literatures of TCM treatment of pneumonia in children in recent 20 years, which was taken the data source. After screening, a prescription database was established. Frequency analysis, association rules Apriori algorithm and complex system entropy clustering analysis methods integrated in TCMISS(V2.5) were applied in data analysis and mining. Core drugs and their properties and flavors, medication modes and new prescriptions were summarized and studied. A total of 408 prescriptions were screened out, involving 218 drugs, among which Chinese herbal medicines with the highest use frequency included Gancao(Glycyrrhizae Radix et Rhizoma), Xingren(Armeniacae Semen Amarum), Huangqin(Scutellariae Radix), Mahuang(Ephedrae Herba), Jiegeng(Platycodonis Radix), Banxia(Pinelliae Rhizoma), Sangbaipi(Mori Cortex), Chenpi(Citri Reticulatae Pericarpium), Fuling(Poria), Jinyinhua(Japonicae Lonicerae Flos). Flavors were mainly bitter, sweet and pungent; and the main medicinal property was cold. Most of these drugs entered lung meridian(LU), stomach meridian(ST) and spleen meridian(SP); and the association rules between drugs were established. Totally 6 new prescriptions were obtained through entropy hierarchical cluster analysis. Our results objectively presented, at present, TCM focuses on phlegm and heat in treating children's pneumonia, which targets at lung and also treats spleen and stomach. The main therapies aim to clear heat and resolve phlegm, ventilate lung and relieve cough and dyspnea, release exterior and dissipate cold, and relieve cough and eliminate phlegm. The results of statistical analysis are basically consistent with the consensus of experts, which can provide theoretical basis for clinical medication and drug development. SN - 1001-5302 UR - https://www.unboundmedicine.com/medline/citation/32489081/[Prescription_and_medication_regularity_of_traditional_Chinese_medicine_for_treating_child_pneumonia_based_on_data_mining]_ L2 - https://medlineplus.gov/pneumonia.html DB - PRIME DP - Unbound Medicine ER -