Artificial Intelligence Methods in Diagnosis of Ischemic Stroke Diseases

In this paper the neural network model for transient ischemic attacks recognition have been addressed. The proposed approach is based on integration of the NPCA neural network and multilayer perceptron. The dataset from clinic have been used for experiments performing. Combining two different neural networks (NPCA and MLP) it is possible to produce efficient performance in terms of transient ischemic attacks detection and recognition. The main advantages of using neural network techniques are quickness and ability to assist a doctor in making decision.