Research on regularity of traditional Chinese medicine in treatment of Alzheimer's disease based on data mining / 中国中药杂志
Zhongguo Zhong Yao Za Zhi
; (24): 1558-1563, 2021.
Article
en Zh
| WPRIM
| ID: wpr-879061
Biblioteca responsable:
WPRO
ABSTRACT
To explore prescription medication regularity in the treatment of Alzheimer's disease with traditional Chinese medicine(TCM). With Alzheimer's disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer's disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer's disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.
Palabras clave
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Medicamentos Herbarios Chinos
/
Prescripciones
/
Minería de Datos
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Enfermedad de Alzheimer
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Medicina Tradicional China
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
Zh
Revista:
Zhongguo Zhong Yao Za Zhi
Año:
2021
Tipo del documento:
Article