Prediction of Heart Disease

Inspiration

I learned that heart disease was the leading cause of death in the united states and wanted to figure out a more convienient way to learn whether you have it or not.

What it does

Takes in factors of heart disease and then outputs a probability of you getting heart disease

How we built it

Used streamlit for data collection and then used a machine learning model using classification for the prediction

Challenges we ran into

Creating UI with streamlit

Accomplishments that we're proud of

Making the machine learning model have an accuracy of 90+% and making the website look decently clean

What we learned

Time management, tuning a machine learning model, streamlit

What's next for Prediction of Heart Disease

Tuning hyperparameters a bit more to make the model more accurate and adding suggestions based on what your percentage was

Built With

• conda
• numpy
• pandas
• scikit-learn
• streamlit