Enter clinical health parameters — age, blood pressure, cholesterol, ECG, and test results — to predict the presence or absence of heart disease using a trained machine learning model.
85.19%
Model Accuracy
Patient Health Parameters
Every input corresponds directly to a feature used in training the Logistic Regression model.