Correlation analysis of TCM diagnosis and treatment based on Apriori algorithm with grouping association / 医疗卫生装备
Chinese Medical Equipment Journal
;
(6): 34-37, 2017.
Artigo
em Chinês
| WPRIM
| ID: wpr-659907
ABSTRACT
Objective To analyze the correlation between the TCM diagnosis and treatment data to provide support for scientific research and clinical treatment.Methods The characteristics of TCM diagnosis and treatment data were analyzed.An improved Apriori algorithm with grouping association was put forward,and association analysis on the data from the encephalopathy database of some hospital was carried out to verify the feasibility of the algorithm.Results Grouped operation was executed for association properties to reduce the association between noncorrelated data,so that the efficiency of the algorithm was enhanced greatly.Conclusion Improved Apriori algorithm with grouping association consumes shorter time than the classical one,and thus is worthy promoting in TCM diagnosis and treatment data application.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Medical Equipment Journal
Ano de publicação:
2017
Tipo de documento:
Artigo
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