Heart Disease Cleveland

Context

The dataset is the Cleveland Heart Disease dataset taken from the UCI repository. The dataset consists of 303 individuals’ data. There are 14 columns in the dataset(which have been extracted from a larger set of 75). No missing values. The classification task is to predict whether an individual is suffering from heart disease or not. (0: absence, 1: presence)

original data: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

Content

This database contains 13 attributes and a target variable. It has 8 nominal values and 5 numeric values. The detailed description of all these features are as follows:

1. Age: Patients Age in years (Numeric)
2. Sex: Gender (Male : 1; Female : 0) (Nominal)
3. cp: Type of chest pain experienced by patient. This term categorized into 4 category.
   0 typical angina, 1 atypical angina, 2 non- anginal pain, 3 asymptomatic (Nominal)
4. trestbps: patient's level of blood pressure at resting mode in mm/HG (Numerical)
5. chol: Serum cholesterol in mg/dl (Numeric)
6. fbs: Blood sugar levels on fasting > 120 mg/dl represents as 1 in case of true and 0 as false (Nominal)
7. restecg: Result of electrocardiogram while at rest are represented in 3 distinct values
   0 : Normal 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of >
   0.05 mV) 2: showing probable or definite left ventricular hypertrophyby Estes' criteria (Nominal)
8. thalach: Maximum heart rate achieved (Numeric)
9. exang: Angina induced by exercise 0 depicting NO 1 depicting Yes (Nominal)
10. oldpeak: Exercise induced ST-depression in relative with the state of rest (Numeric)
11. slope: ST segment measured in terms of slope during peak exercise
    0: up sloping; 1: flat; 2: down sloping(Nominal)
12. ca: The number of major vessels (0–3)(nominal)
13. thal: A blood disorder called thalassemia
    0: NULL 1: normal blood flow 2: fixed defect (no blood flow in some part of the heart) 3: reversible defect (a blood flow is observed but it is not normal(nominal)
14. target: It is the target variable which we have to predict 1 means patient is suffering from heart disease and 0 means patient is normal.

Variable to be predicted

Absence (1) or presence (2) of heart disease

Cost Matrix

 abse  pres

absence 0 1
presence 50

where the rows represent the true values and the columns the predicted.

No missing values.

303 observations

Acknowledgements

Creators:

1. Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
2. University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
3. University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
4. V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.

Donor:
David W. Aha (aha '@' ics.uci.edu) (714) 856-8779

similar dataset : https://www.kaggle.com/datasets/ritwikb3/heart-disease-statlog