Study on prediction of high risk group of Type 2 diabetes based on Apriori algorithm / 中国医学装备
China Medical Equipment
;
(12): 45-47, 2015.
Artigo
em Chinês
| WPRIM
| ID: wpr-473580
ABSTRACT
Objective:
To discover and prevent diabetes early in high-risk group.Methods:
Chose 323 records of type 2 diabetes or IFG,IGT patients with first course which come from a large hospital in Lanzhou between 2009 January to 2014 March; Use Apriori algorithm and the SPSS Clementine 12 software design;Set up prediction model of type 2 diabetes.Results:
A total of 10 strong association rules are formed. The strong association rules contain some associations between factors and type 2 diabetes.Conclusion:
Through the association rules, the initial judgment on the high-risk group of diabetes is simple and accurate.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo de etiologia
/
Estudo prognóstico
Idioma:
Chinês
Revista:
China Medical Equipment
Ano de publicação:
2015
Tipo de documento:
Artigo
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