Prognostic Value of Admission Parameters in a Machine Learning Predictive Model in Patients With Severe Traumatic Brain Injury and Acute Subdural Hematomas
Abstract:INTRODUCTION
Acute subdural hematoma (aSDH) in the context of severe traumatic brain injury (TBI) is a neurosurgical emergency. Predictive models have been used in an attempt to modulate the morbidity and mortality of patient outcomes. We used machine learning (ML) to identify admission risk factors predictive of long-term morbidity in the severe TBI patient population with aSDH.
METHODS
Between 2013 and 2016, 85 patients wit… Show more
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