A stroke is a medical disorder in which there is the insufficient blood supply to the brain, resulting in cell death. In the world's population, the most prevalent cause of mortality worldwide is stroke. Artificial intelligence (AI) has risen to prominence in recent years across a wide range of sectors, particularly in medical applications. In this work, we propose a method for stroke diagnosis using an Artificial Neural Network (ANN). This study will use data analytics to create a model that can predict stroke results based on an unbalanced dataset of 5110 patients whose stroke outcome is known. In this paper, we can find the data accuracy reaching 95%. With this knowledge, doctors will be able to better understand the disease and predict the occurrence of strokes with more accuracy, as well as conduct prophylactic measures

Stroke, Artificial Intelligence, Pre-Diagnosing, ANN