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Heart Attack Prediction Dataset
Patient Health Records & Digital Health
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About
This dataset provides critical information for exploring factors and predictors of heart attacks. Collected from Zheen Hospital in Erbil, Iraq, it includes various medical attributes designed to classify the presence or absence of a heart attack. It offers valuable insights for medical research and predictive modelling in cardiology.
Columns
- Age: The patient's age in years.
- Gender: Patient's gender, where male is encoded as 1 and female as 0.
- Heart rate: Heart rate measured in beats per minute (BPM).
- Systolic blood pressure: Measurement of systolic blood pressure.
- Diastolic blood pressure: Measurement of diastolic blood pressure.
- Blood sugar: Blood glucose level. This is encoded as 1 if the value is greater than 120, otherwise 0.
- CK-MB: Creatine kinase-MB levels, an enzyme found in heart muscle.
- Troponin: Troponin levels, a protein released when heart muscle is damaged.
- Result: The classification output, indicating a heart attack (positive, set to 1) or no heart attack (negative, set to 0).
Distribution
The dataset is typically provided in a CSV file format, specifically named
Medicaldataset.csv, with a size of 52.36 kB. It contains 9 distinct columns. The dataset comprises 1319 records or rows.Usage
This dataset is ideal for a range of applications, including:
- Developing and testing machine learning models for heart attack prediction.
- Conducting medical research to identify key risk factors for cardiac events.
- Creating data visualisations to understand patient demographics and health metrics related to heart conditions.
- Educational purposes in statistics, data science, and public health courses.
Coverage
The data was collected at Zheen Hospital in Erbil, Iraq. The collection period spanned from January 2019 to May 2019. Patient ages range from 14 to 103 years, with an average age of 56.2 years. The dataset includes 870 male records and 449 female records.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data scientists and machine learning engineers working on healthcare predictive analytics.
- Medical researchers and epidemiologists studying cardiovascular diseases.
- Healthcare professionals seeking to understand patient risk profiles.
- Students and academics engaged in data analysis and medical statistics projects.
Dataset Name Suggestions
- Heart Attack Prediction Dataset
- Zheen Hospital Cardiac Data
- Patient Heart Attack Predictors
- Medical Heart Health Records
Attributes
Original Data Source: Heart Attack Prediction Dataset
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