Artificial Neural Network-based Predicting the Risk of Complicating Ventricular Tachyarrhythmia After Acute Myocardial Infarction During Hospitalization
Abstract:An artificial neural network (ANN) model was developed to predict the risks of complicating ventricular tachyarrhythmia (VTA) in patients with acute myocardial infarction (AMI). We enrolled information of 503 patients with 13 risk factors from the affiliated hospital of Guangdong medical university from January 2017 to December 2019. Risk factors were dimensionally reduced and simplified as new variables by principal component analysis (PCA). The cohort were randomly divided into a training set and a testing s… Show more
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