Patient Heart Condition Dataset

Columns

• Age: Patient's age in years (Numeric). The mean age is 54.4 years, with a standard deviation of 9.02, and values range from 29 to 77 years.
• Sex: Gender, where 1 denotes Male and 0 denotes Female (Nominal). The dataset contains 97 females and 206 males.
• cp: Type of chest pain experienced by the patient, categorised into 4 types: 0 (typical angina), 1 (atypical angina), 2 (non-anginal pain), and 3 (asymptomatic) (Nominal). Asymptomatic pain is the most frequent type, with 144 counts.
• trestbps: Patient's resting blood pressure in mm/HG (Numerical). The mean resting blood pressure is 132 mm/HG, with a standard deviation of 17.6, ranging from 94 to 200 mm/HG.
• chol: Serum cholesterol in mg/dl (Numeric). The mean serum cholesterol is 247 mg/dl, with a standard deviation of 51.7, ranging from 126 to 564 mg/dl.
• fbs: Fasting blood sugar levels, represented as 1 if > 120 mg/dl (true) and 0 if false (Nominal). There are 45 instances where fasting blood sugar is greater than 120 mg/dl.
• restecg: Result of electrocardiogram while at rest, with 3 distinct values: 0 (Normal), 1 (having ST-T wave abnormality), and 2 (showing probable or definite left ventricular hypertrophy by Estes' criteria) (Nominal). Both normal and left ventricular hypertrophy results are well represented.
• thalach: Maximum heart rate achieved (Numeric). The mean maximum heart rate is 150, with a standard deviation of 22.8, ranging from 71 to 202.
• exang: Angina induced by exercise, where 0 depicts NO and 1 depicts Yes (Nominal). 99 individuals experienced exercise-induced angina.
• oldpeak: Exercise induced ST-depression relative to the state of rest (Numeric). The mean oldpeak is 1.04, with a standard deviation of 1.16, ranging from 0 to 6.2.
• slope: ST segment measured in terms of slope during peak exercise, with 3 values: 0 (up sloping), 1 (flat), and 2 (down sloping) (Nominal). Up sloping and flat slopes are the most common.
• ca: The number of major vessels (0–3) (Nominal). Most individuals have 0 major vessels affected, with 180 counts.
• thal: A blood disorder called thalassemia, with 4 values: 0 (NULL), 1 (normal blood flow), 2 (fixed defect), and 3 (reversible defect) (Nominal). Normal blood flow is the most frequent category.
• target: The variable to be predicted, where 1 means the patient is suffering from heart disease and 0 means the patient is normal. There are 139 instances of heart disease presence and 164 of absence.

Distribution

Usage

• Developing and evaluating machine learning models for heart disease prediction.
• Medical research into factors influencing cardiovascular health.
• Creating patient risk assessment tools for early diagnosis.
• Educational purposes in data science and medical informatics, offering a practical classification problem.

Coverage

License

Who Can Use It

• Data Scientists and Machine Learning Engineers: To build and benchmark predictive models for health outcomes.
• Medical Researchers: To study correlations between various health indicators and heart disease.
• Healthcare Analysts: To inform strategies for early diagnosis and preventative care.
• Students: For academic projects and learning about classification problems in healthcare.

Dataset Name Suggestions

• Cleveland Heart Disease Prediction
• Cardiovascular Health Indicators (Cleveland)
• Patient Heart Condition Dataset
• Heart Disease Diagnosis Data
• Cleveland Clinic Heart Data

Attributes