Heart Attack Detection
Machine LearningScikit-learnVanillaJS
About
A machine learning application for early detection of heart attack risk, leveraging predictive models trained on clinical health data.
Features a VanillaJS frontend for inputting patient metrics and receiving risk assessments, making ML-based health screening accessible through the browser.
Code
Source code and implementation details are available on GitHub.
View repository →Demo
No live demo available. Clone the repository to run locally.
Images
