Prediction of rupture risk in anterior communicating artery aneurysms
This article attempts to predict the rupture risk in anterior communicating artery (ACOM) aneurysms by using a two-layer feed-forward artificial neural network (ANN). To improve ANN efficiency, an adaptive synthetic (ADASYN) sampling approach was applied to generate more synthetic data for unruptured aneurysms. Based on the results, the conclusion is that this ANN presents good performance and offers a valuable