Heart Failure Prediction

Inspiration

Heart Failures take away many lives each year, so to prevent that we built a simple ML model.

What it does

It takes various parameters ("age", "sex", "cp", "trtbps", "chol", "fbs", "restecg", "thalachh", "exng", "oldpeak", "slp", "caa", "thall") as input and displays whether the person may face a heart failure or not. It's accuracy is 79%.

How we built it

SKLearn, Python, Random Forest, Replit

Challenges we ran into

Keeping track of the modules

What we learned

About Random Forest Algorithm

What's next for Heart Failure Prediction

Will integrate it with a web app

Built With

• python
• randomforest
• replit
• sklearn