Heart Failure Disease Prediction

Inspiration

Knowing that with AI, you can predict mostly anything and use it to provide solutions to certain major and minor problem we experience in our world.

What it does

It can predict if a patient will have a heart failure.

How I built it

I built it by gathering data, evaluating the data and making sure its okay for use. Then I split the data into two part, one part used to train the machine learning learning model and the second part to see how well the model can react to new data and predict an accurate result.

Challenges I ran into

forgetting to convert the dataset into digits form

Accomplishments that I'm proud of

the model predictions with different algorithms were in range of 89-91%.

What I learned

I actually learnt a lot, about ECG ST depression in the medical field because I have to understand the dataset. I also had a clearer view of what high correlation means in a given dataset.