Application of knowledge discovery process on the prediction of stroke.

Objective: Stroke is a prominent life-threatening disease in the world. The current study was performed to predict the outcome of stroke using knowledge discovery process (KDP) methods, artificial neural networks (ANN) and support vector machine (SVM) models.

Materials And Methods: The records of 297 (130 sick and 167 healthy) individuals were acquired from the databases of the department of emergency medicine.