Association Rules to Identify Complications of Cerebral Infarction in Patients with Atrial Fibrillation / 대한의료정보학회지
Healthcare Informatics Research
;
: 25-32, 2013.
Artigo
em Inglês
| WPRIM
| ID: wpr-197312
ABSTRACT
OBJECTIVES:
The purpose of this study was to find risk factors that are associated with complications of cerebral infarction in patients with atrial fibrillation (AF) and to discover useful association rules among these factors.METHODS:
The risk factors with respect to cerebral infarction were selected using logistic regression analysis with the Wald's forward selection approach. The rules to identify the complications of cerebral infarction were obtained by using the association rule mining (ARM) approach.RESULTS:
We observed that 4 independent factors, namely, age, hypertension, initial electrocardiographic rhythm, and initial echocardiographic left atrial dimension (LAD), were strong predictors of cerebral infarction in patients with AF. After the application of ARM, we obtained 4 useful rules to identify complications of cerebral infarction age (>63 years) and hypertension (Yes) and initial ECG rhythm (AF) and initial Echo LAD (>4.06 cm); age (>63 years) and hypertension (Yes) and initial Echo LAD (>4.06 cm); hypertension (Yes) and initial ECG rhythm (AF) and initial Echo LAD (>4.06 cm); age (>63 years) and hypertension (Yes) and initial ECG rhythm (AF).CONCLUSIONS:
Among the induced rules, 3 factors (the initial ECG rhythm [i.e., AF], initial Echo LAD, and age) were strongly associated with each other.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Braço
/
Aprendizagem por Associação
/
Fibrilação Atrial
/
Modelos Logísticos
/
Infarto Cerebral
/
Fatores de Risco
/
Eletrocardiografia
/
Mineração de Dados
/
Hipertensão
/
Mineração
Tipo de estudo:
Estudo de etiologia
/
Estudo prognóstico
Limite:
Humanos
Idioma:
Inglês
Revista:
Healthcare Informatics Research
Ano de publicação:
2013
Tipo de documento:
Artigo
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