Analysis of Composition Regularity of Prescriptions for Hemoptysis Based on TCM Inheritance Support Platform Software / 中国药房
China Pharmacy
; (12): 769-773, 2018.
Article
in Zh
| WPRIM
| ID: wpr-704673
Responsible library:
WPRO
ABSTRACT
OBJECTIVE:To provide idea and reference for TCM therapy for hemoptysis. METHODS:The prescriptions for hemoptysis included in TCM Prescription Dictionary were screened,summarized and logged in TCM inheritance support platform software(V2.5). The medication frequency was analyzed statistically. Apriori algorithm was used to analyze combination of medicinal materials(the number of support degree was 12)and its association rules(confidence degree>0.7)statistically. Correlation coefficient of 2 different medicinal materials(related coefficient of 8,penalty coefficient of 2)and core combination of 3 and 4 ingredients were analyzed statistically by complex system entropy clustering method. Core combination and new prescription were extracted by unsupervised entropy hierarchical clustering method. RESULTS:Totally 105 prescriptions for hemoptysis were screened and included 198 ingredients,among which 39 ingredients were used more than 6 times;there were 30 common couplet medicines(including 15 ingredients)and 11 correlation regularities;48 core combination of 3 ingredients and 5 core combination of 4 ingredients were obtained. Each 6 core combination 1 and 2 were extracted for new prescription clustering to obtain 6 new prescriptions. CONCLUSIONS:The efficacy of each ingredient of the prescriptions for hemoptysis mainly include clearing heat and cooling blood,nourishing Qi and blood,eliminating phlegm and relieving cough. The efficacy of couplet medicines for hemoptysis mainly include clearing heat and cooling blood combined with nourishing Yin and blood,tonifying Qi and Yin. The composition of new prescription shows diverse characteristics,and pay attention to cooling blood to stop bleeding, nourishing Qi and nourishing Yin,or clearing heat and eliminating phlegm.
Full text:
1
Database:
WPRIM
Language:
Zh
Journal:
China Pharmacy
Year:
2018
Document type:
Article