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.
Article
en Zh
| WPRIM
| ID: wpr-662373
Biblioteca responsable:
WPRO
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:
1
Índice:
WPRIM
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Medical Equipment Journal
Año:
2017
Tipo del documento:
Article