Inspiration
The World Health Organization has reported that around the world there are 12 million deaths due to heart disease each year. Half of deaths are caused by cardio-vascular diseases in the United States and other developed countries. The early prognosis of cardiovascular diseases can aid in making decisions on lifestyle changes in high risk patients and in turn reduce the complications.
What it does
This work aims to identify the most important heart disease risk factors and to estimate the overall risk
How I built it
Python, Scikit learn, Gradio
Challenges I ran into
Time constraint
Accomplishments that I'm proud of
At least was able to submit
What I learned
A lot
What's next for Machine learning for CHD prediction
Further improvement in accuracy
Built With
- gradio
- python
- scikit-learn

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