Association rule mining and network analysis in oriental medicine.
PLoS One
; 8(3): e59241, 2013.
Article
em En
| MEDLINE
| ID: mdl-23555003
ABSTRACT
Extracting useful and meaningful patterns from large volumes of text data is of growing importance. In the present study we analyze vast amounts of prescription data, generated from the book of oriental medicine to identify the relationships between the symptoms and the associated medicines used to treat these symptoms. The oriental medicine book used in this study (called Bangyakhappyeon) contains a large number of prescriptions to treat about 54 categorized symptoms and lists the corresponding herbal materials. We used an association rule algorithm combined with network analysis and found useful and informative relationships between the symptoms and medicines.
Texto completo:
1
Base de dados:
MEDLINE
Métodos Terapêuticos e Terapias MTCI:
Terapias_biologicas
Assunto principal:
Algoritmos
/
Coleta de Dados
/
Preparações de Plantas
/
Mineração de Dados
/
Bases de Dados de Produtos Farmacêuticos
/
Medicina Tradicional do Leste Asiático
Tipo de estudo:
Risk_factors_studies
País/Região como assunto:
Asia
Idioma:
En
Revista:
PLoS One
Ano de publicação:
2013
Tipo de documento:
Article