A stroke is a medical condition in which the blood vessels in the brain gets damaged according to the WHO. It is also one of the most significant causes of death. Brain stroke can be prevented, if necessary, measures are taken by the individuals who are at the higher probability of suffering from it. In this work, a method has been proposed using quantum enhanced support vector machine for brain stroke prediction. This prediction is done based on the medical history and the physical attributes of a body. A model built which predict if a patient will suffer from brain stroke or not. In this work, quantum enhanced support vector machine algorithms are also compared against the traditional SVM algorithms.