A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients
Description
Clostridioides difficile (C. difficile) infection (CDI) is the leading cause of hospital-acquired diarrhea and is associated with significant morbidity, mortality, and healthcare costs.1–3 Over 450,000 cases of CDI and up to 29,000 CDI-related deaths