Intelligent Disease Monitoring and Alert Framework using Streamlit

Intelligent Disease Monitoring and Alert Framework is a program of healthcare system which is operated by Artificial Intelligence (AI) and it is made by using Streamlit to predictions of the multiple diseases quickly and accurately. It is using a Machine Learning (ML) power, which is trained by a model, this healthcare system analysis the health given by users, like glucose, cholesterol, Blood Pressure (BP), Heart Rate and so on. After analysis, it provides the risk prediction on different diseases like Heart and Parkinson’s Disease. On this application, it uses a various Machine Learning (ML) model, like Random Forest, Support Vector Machine (SVM), Logistic Regression. These models trained using the Kaggle and UCI Machine Learning repositories databases. Some levels to uses in cleaning procedures, feature choosing and normalization is done, then models working better and gives correct output it can be trusted more. It gives prediction accuracy level is higher than 85 percentage. So, the result acceptable in early diseases diagnosis. This platform UI is simple, which is made by using Streamlit web interface. It’s good for users get the result fast and also visual representation. This system improves the healthcare and reduces the time which is take a higher in big hospitals. Patients store ours reports and transfer to other hospitals easily and fast. This project is trying to close distance between the healthcare and technology since it is expandable system, it can easily use by everyone and it is not an expensive, which makes alerts for early finding diseases much easier.