Dataset contains 11 clinical features for predicting heart disease events.
This project helps to predict whether the patient has Heart Disease or not. This prediction is made using the clinical data of patients.
| Attribute | Description |
|---|---|
| Age | Age of a patient [years] |
| Sex | Gender of the patient [M: Male, F: Female] |
| ChestPain | Chest pain type [TA: Typical Angina, ATA: Atypical Angina, NAP: Non-Anginal Pain, ASY: Asymptomatic] |
| RestingBP | Blood pressure in Hg (Normal blood pressure - 120/80 Hg) |
| Cholesterol | Serum cholestrol level in blood (Normal cholesterol level below for adults 200mg/dL) |
| FastingBS | Fasting Blood Sugar (Normal less than 100mg/dL for non diabetes for diabetes 100-125mg/dL) |
| RestingECG | Resting electrocardiogram results [Normal: Normal, ST: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV), LVH: showing probable or definite left ventricular hypertrophy by Estes' criteria] |
| MaxHR | Maximum heart rate achieved [Numeric value between 60 and 202] |
| ExerciseAngina | Exercise-induced angina [Y: Yes, N: No] |
| Oldpeak | oldpeak = ST [Numeric value measured in depression] |
| ST_Slope | The slope of the peak exercise ST segment [Up: upsloping, Flat: flat, Down: downsloping] |
| HeartDisease | output class [1: heart disease, 0: Normal] |