A Multimodal Monitoring Approach to Predicting the Onset of Physiological Incidents Using Machine Learning

Traumatic Brain Injury (TBI) is a complex, heterogeneous disease affecting millions of people in the U.S. each year [1]. Multimodal monitoring (MMM) is a relatively new attempt to access and monitor the brain post injury by incorporating multiple sources of information recorded in the intensive care unit (ICU) [2]. As a result, MMM has led to the creation of exhaustive datasets, allowing for the i...