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Heart_Disease_Dataset

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Heart Disease Dataset

This dataset contains information about individuals and their health characteristics related to heart disease. It can be used to predict whether a person has heart disease or not based on various medical and personal attributes.

Columns:

  • age: Age of the person (in years).

  • sex: Gender of the person (binary encoding):

    • 1 = Male
    • 0 = Female

  • cp: Chest pain type:

    • 0 = Asymptomatic
    • 1 = Atypical angina
    • 2 = Non-anginal pain
    • 3 = Typical angina

  • trestbps: Resting blood pressure (in mm Hg) on admission to the hospital.

  • chol: Cholesterol level (in mg/dl).

  • fbs: Fasting blood sugar (> 120 mg/dl):

    • 1 = True
    • 0 = False

  • restecg: Resting electrocardiographic results:

    • 0 = Showing probable or definite left ventricular hypertrophy by Estes’ criteria.
    • 1 = Normal.
    • 2 = Having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV).

  • thalach: Maximum heart rate achieved during exercise.

  • exang: Exercise-induced angina (binary encoding):

    • 1 = Yes
    • 0 = No

  • oldpeak: ST depression induced by exercise relative to rest (measured in millivolts).

  • slope: The slope of the peak exercise ST segment:

    • 0 = Downsloping
    • 1 = Flat
    • 2 = Upsloping

  • ca: Number of major vessels (0–3) colored by fluoroscopy.

  • thal: A blood disorder called thalassemia, indicating heart condition:

    • 0 = NULL (dropped from dataset)
    • 1 = Fixed defect (no blood flow in some part of the heart)
    • 2 = Normal blood flow
    • 3 = Reversible defect (blood flow observed but not normal)

  • target: Presence of heart disease (binary encoding):

    • 1 = No heart disease
    • 0 = Heart disease present

This dataset can be used for predictive modeling to assess the risk of heart disease based on the provided features.

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