Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.
Journal:
Thrombosis research
Published Date:
Jun 2, 2022
Abstract
BACKGROUND: Pulmonary embolism (PE) is a life-threatening condition associated with ~10% of deaths of hospitalized patients. Machine learning algorithms (MLAs) which predict the onset of pulmonary embolism (PE) could enable earlier treatment and improve patient outcomes. However, the extent to which they generalize to broader patient populations impacts their clinical utility.