Angin Ahmar Care is a web application designed to predict stroke occurrences using public data from Kaggle, ourworldindata.org and the Department of Statistics Malaysia (DOSM). This web app aims to raise awareness about the importance of stroke prevention, as stroke is one of the deadliest diseases and can affect people of any age group.
CategoryFinal Year Project
PublishedNovember 2023
StatusFinished
objectives
To investigate issues in current stroke risk assessing methods and identify how machine learning can improve it.
To develop a dashboard to visualize data and a tool that uses RandomForest algorithm to predict stroke risk.
To evaluate the effectiveness of the dashboard and the stroke risk prediction using UAT.
