A Decision Support System for Early Prediction of Brain Stroke Disease in Bangladesh

Abstract

Brain Stroke is a Neurological disease that occurs when the blood supply to brain is interrupted or reduce, depriving brain tissue of oxygen and nurturance. This can lead to brain damage to possibly death. Brain Stroke are a medical emergency and prompt treatment is essential because the sooner a person receives treatment stroke, the less damage is likely to happen. Brain Stroke is the second leading cause of death in worldwide and third in Bangladesh. Information gain from health data may lead to innovative solution of better treatment plan for patients. In order to gain knowledge intelligently from brain stroke data, some machine learning technique and utilized to process data and generated data model that can be used to predict brain stroke disease or extract valuable information about brain stroke disease. In this study a data mining model has been build using a few machine learning algorithm, which can find out the important features of brain stroke as well as efficiently predict brain stroke.