modelbuilder_test_data | R Documentation |
A dataset for testing and developing predictive models, particularly for cardiovascular events. It contains patient demographics, clinical risk factors, lab values, and an outcome variable.
data(modelbuilder_test_data)
A data frame with 600 rows and 16 variables:
Character. Unique patient identifier.
Character. Hospital or study center identifier.
Integer. Patient's age in years.
Character. Patient's sex (e.g., "Male", "Female").
Character. Diabetes status (e.g., "Yes", "No").
Character. Hypertension status (e.g., "Yes", "No").
Character. Smoking status (e.g., "Yes", "No", "Former").
Integer. Total cholesterol level.
Numeric. Body Mass Index.
Integer. Systolic blood pressure.
Character. Family history of cardiovascular disease (e.g., "Yes", "No").
Numeric. Cardiac troponin level.
Numeric. Serum creatinine level.
Character. Outcome variable indicating if a cardiovascular event occurred (e.g., "Yes", "No").
Numeric. A simulated true underlying risk score for the patient.
Character. A pre-calculated risk category based on certain criteria.
data(modelbuilder_test_data)
str(modelbuilder_test_data)
head(modelbuilder_test_data)
summary(modelbuilder_test_data$bmi)
table(modelbuilder_test_data$cardiovascular_event)
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