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Heart Disease Predictor

2 devlogs
21m 27s

This model predicts a patient’s risk of developing heart disease based on key health metrics, including age, sex, cholesterol, and more.

This model is for educational purposes only and should not be taken as medical advice!

Arya

I’ve finished training the model on the data. I used the Logistic Regression model, which is often used for predicting binary outcomes (like having or not having heart disease). Next, I want to make a UI for patients to enter their health inputs and see the model’s predictions.

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Arya

I’ve written code to read and process the data. I used an open source dataset from the IEEE DataPort website, which combined 5 pre-existing heart disease datasets (cited below). The values were already sorted out nicely, so I didn’t need to account for NaN or non-numerics.

Manu Siddhartha, “Heart Disease Dataset (Comprehensive)”, IEEE Dataport, November 5, 2020, doi:10.21227/dz4t-cm36

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