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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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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