mi_ruleout_data | R Documentation |
A simulated dataset for evaluating diagnostic strategies for ruling out myocardial infarction (MI) in patients presenting with chest pain. It includes patient demographics, risk factors, ECG findings, serial troponin levels, and CT angiography results, along with the final MI status.
data(mi_ruleout_data)
A data frame with 800 rows and 11 variables:
Integer. Unique patient identifier.
Character. Electrocardiogram (ECG) findings (e.g., "Normal", "Ischemic changes", "Non-specific").
Character. Initial cardiac troponin level category (e.g., "Normal", "Slightly Elevated", "Elevated").
Character. Cardiac troponin level at 3 hours category (e.g., "Normal", "Slightly Elevated", "Elevated").
Character. Result of CT angiography (e.g., "Negative for CAD", "Positive for CAD", "Not Performed").
Character. Final diagnosis of myocardial infarction (e.g., "MI Confirmed", "MI Ruled Out").
Integer. Patient's age in years.
Character. Type of chest pain experienced by the patient (e.g., "Typical Angina", "Atypical Angina", "Non-cardiac").
Character. Diabetes mellitus status (e.g., "Yes", "No").
Character. Current smoking status (e.g., "Current Smoker", "Former Smoker", "Never Smoked").
Character. History of prior coronary artery disease (e.g., "Yes", "No").
data(mi_ruleout_data)
str(mi_ruleout_data)
head(mi_ruleout_data)
table(mi_ruleout_data$mi_status)
summary(mi_ruleout_data$age)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.