Cerebral Infarction Classification Using Genetic Algorithm Neural Network and Stochastic Neural Network

Stroke is a major cause of morbidity and mortality. A stroke occurs when the sudden death of some brain cells due to blockage or rupture of an artery. Thus, the brain lack oxygen when the blood flows to the brain is lost. Ischemic is one of two forms of stroke. The cause of Ischemic is a cerebral infarction. The classifications of infarction in cerebral help the medical sector in detecting ischemic stroke. Deep learning can improve the accuracy of classification. This research discussed cerebral infarction classification using Genetic Algorithm Neural Network (GA-NN) and Stochastic Neural Network (S-NN). Neural Network with two different optimizers is compared to find out which one has the best accuracy. Data cerebral infarction is received from Cipto Mangunkusumo Hospital, Indonesia. The result is S-NN has a higher accuracy with 95,23% than GA-NN with 92,85%.