Abstract:Background
Global Registry of Acute Coronary Events (GRACE) score is a well-known model used to predict the probability of events in acute coronary syndrome (ACS). GRACE model was developed using a logistic regression approach that can only model linear functions, a limitation that could be prevented using artificial neural networks (NN) a recognized tool for nonlinear statistical modeling. The aim of this study was to develop, train and test different NN algorithm-based models to improve the… Show more
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