Developing a Simple Neural Network Model to Perform Binary Classification on Stroke Prediction
1. Introduction As the begging we chose “stroke prediction” as our project idea for the neural network model under the binary classification. The stroke prediction neural network model is a significant development in healthcare technology that helps to identify stroke risk early and may even save lives. A stroke is a serious medical illness that develops when blood flow to the brain is suddenly interrupted, potentially causing catastrophic repercussions including brain cell damage. In order to avoid such occurrences and provide prompt medical assistance, early diagnosis and prediction of stroke risk can be extremely important. Artificial intelligence and machine learning have produced encouraging results in a number of healthcare applications, including stroke prediction. The likelihood of a person having a stroke has been predicted using binary classification models, which divide incidents into one of two categories (in this case, stroke or non-stroke). A collection of machi
