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Heart Disease Risk Prediction Data
Patient Health Records & Digital Health
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About
This dataset is designed for the prediction of heart disease in patients, offering a vital resource for preventing the risks associated with heart attacks and strokes. Given that heart disease remains a leading cause of mortality globally, this data enables the development of models to identify individuals most susceptible to cardiovascular conditions in the near future.
Columns
- age: The patient's age.
- sex: The biological sex of the patient (represented numerically).
- cp: The type of chest pain experienced by the patient, categorised into four values.
- trestbps: The patient's resting blood pressure.
- chol: The patient's serum cholesterol level in mg/dl.
- fbs: Fasting blood sugar level, indicating if it is greater than 120 mg/dl.
- restecg: Resting electrocardiographic results, presented with values 0, 1, or 2.
- thalach: The maximum heart rate achieved during a test.
- exang: Indicates whether exercise induced angina in the patient.
- oldpeak: ST depression induced by exercise relative to rest.
- slope: The slope of the peak exercise ST segment, categorised with values 0, 1, or 2.
- ca: The number of major vessels (0-3) coloured by fluoroscopy.
- thal: Thalassemia type, with possible values of 0, 1, 2, or 3.
- target: The prediction target, indicating the presence or absence of heart disease.
Distribution
The dataset is provided as a CSV file, named
heart.csv, with a size of 11.33 kB. It comprises 14 columns and contains 303 valid records for analysis. Specific numbers for rows or records are available.Usage
This dataset is ideal for building and evaluating machine learning models aimed at predicting which patients are most likely to suffer from heart disease. It supports research into risk assessment, early detection, and preventative healthcare strategies.
Coverage
The dataset focuses on patient demographics and physiological measurements relevant to heart disease. Patient ages range from 29 to 77 years. While specific geographic or time range information is not available, the data pertains to general patient health indicators.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for researchers, data scientists, and healthcare professionals interested in predictive modelling for cardiovascular health. It can be utilised for developing decision support systems, academic studies, and for training artificial intelligence models in medical diagnostics.
Dataset Name Suggestions
- Heart Disease Risk Prediction Data
- Cardiovascular Health Predictor
- Patient Heart Disease Indicators
- Medical Heart Condition Forecaster
Attributes
Original Data Source: Heart Disease Risk Prediction Data
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