Machine Learning Predicts Severe Community-Acquired Pneumonia
Community-acquired pneumonia (CAP) is common and a leading cause of death worldwide.
Anticoagulants Lower Blood Clot Risk in Critically Ill Adolescents
Critically ill children with prolonged lengths of stay, central venous catheterization, and concurrent infectious or parainflammatory processes have a...
The Role of Targeted Regionalization for Sepsis Care
The United States has a well-established trauma system that designates each hospital to a tier and sends patients to the appropriate regional hospital...
A Simple Clinical Tool to Assess OHCA Mortality Risk
The risk of death for patients with out-of-hospital cardiac arrest (OHCA) is high. Only about 20% reach the hospital alive. Among those who reach the ...
Machine Learning Successfully Identifies Subphenotypes of Pediatric ARDS
Successfully identifying subphenotypes of pediatric acute respiratory distress syndrome (PARDS) could lead to better, more targeted therapies.
Machine Learning Helps Develop Better ICU Benchmarking Model
Many current length of stay (LOS) models are flawed in capturing why patients stay longer in the intensive care unit (ICU). Knowledge Area: