Browsing by Author "1712852642"

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    Machine Learning Powered Stroke Predicting Web Application
    (North South University, 2021) Eshan Ahmed; Redwan Ahmed; Shahriar Hossain; Md. Shahriar Hussain; 1712918642; 1721279042; 1712852642
    Stroke is one of the major causes of severe health issues and death cases in the world. A chance of strokes may develop gradually in one person's body. Early prediction of stroke is useful for prevention, so it is possible to reduce the chance of stroke by taking regular checkups. The main objective of our project is to detect the possibility of stroke by machine learning which is a subfield of artificial intelligence. This machine learning part will be a significant part of our work. Another important component of our work is that we built a web platform based on machine learning. Here users will be able to make predictions simply by putting some values on our stroke prediction form. Again, the required values are user-friendly, so one will not need to go through any unnecessary hassle to collect them. All of the required attributes are related to one's lifestyle and overall general health condition. After getting the user’s required attributes’ value, our system will analyze those by our machine learning model, which we built earlier. Then our system will send a response if the user has any chance of having a stroke or not. Among all attributes or features, some crucial attributes play a significant role in having a stroke in the future. Our system will also prompt the user to predict which aspects of their health they should pay attention to. Our system will also store users' input attributes and their corresponding prediction results. This will help our users to keep track of their health conditions. We built and tested our whole system with utmost precision so that it can help our users to predict stroke before it happens.