OU ACS-5513: Machine Learning Project
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Data Exploration

Clinical Feature Analysis

Investigating feature distributions and multivariate relationships within the clinical data.

Provenance: Cleveland Clinic Foundation (Processed)

The bundled clinical benchmark dataset for this project. It contains the cleaned Cleveland cases used for training, evaluation, and exploratory analysis.

View original source dataset ↗

Data Dictionary
Field Domain / Scale Units Description
age Numeric (0-120) years Age of the patient.
sex 0=Female, 1=Male binary Biological sex of the patient.
cp 1=Typical, 2=Atypical, 3=Non-anginal, 4=Asymptomatic coded Type of chest pain experienced.
trestbps Numeric (0-300) mm Hg Resting blood pressure on admission.
chol Numeric (0-1000) mg/dl Serum cholesterol measurements.
fbs >120 mg/dl (1=True, 0=False) binary Fasting blood sugar level.
restecg 0=Normal, 1=ST-T wave, 2=LV hypertrophy coded Resting electrocardiographic results.
thalach Numeric (0-250) bpm Maximum heart rate achieved.
exang 1=Yes, 0=No binary Exercise induced angina.
oldpeak Numeric (0-10) mm ST depression induced by exercise relative to rest.
slope 1=Upsloping, 2=Flat, 3=Downsloping coded The slope of the peak exercise ST segment.
ca 0-3 vessels count Number of major vessels colored by fluoroscopy.
thal 3=Normal, 6=Fixed, 7=Reversable coded A blood disorder called thalassemia.
target 0=<50% diameter, 1=>50% diameter binary Heart disease diagnosis status.

How the fields correlate

Matrix visualization of the heart disease dataset