kumaryash18/heart_disease_prediction_web

Heart Disease Prediction Web application

Heart disease prediction web application

This application predicts the presence of heart disease in a patient using an underlying supervised machine learning classification model. It considers patient's different test parameters and predicts a binary response [Normal, Heart Disease]. The model was trained on a publicly available dataset after comparing different models on the basis of accuracy score and hyperparameter tuning. The data was preprocessed (feature selection) before feeding in the model.

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Technologies used:

1. Python
2. scikit-learn/Matplotlib (building model & data visualization)
3. Flask (web application)
4. HTML/CSS/Bootstrap (frontend)

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Examples:

Example 1:

Example 2:

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