1298: A Physiology-Driven Machine Learning Model for Traumatic Brain Injury Outcome
نویسندگان
چکیده
منابع مشابه
Predictive modeling in pediatric traumatic brain injury using machine learning
BACKGROUND Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured child, these may not be generalizable to practices in countries with traditionally low rates of computed tomography (CT). We aim to study predictors f...
متن کاملRehabilitation outcome after traumatic brain injury.
Rehabilitation goals after traumatic brain injury are improving function, increasing the level of independence as high as possible, preventing complications and providing an acceptable environment to the patient. Several complications can be encountered during the rehabilitation period which lead to physical, cognitive and neurobehavioral impairments that cause major delay in functional improve...
متن کاملOutcome biomarkers following severe traumatic brain injury.
Trauma is the leading cause of death of people from 1 to 44 years of age. Traumatic brain injury is the main determinant for mortality and morbidity caused by trauma. Outcome prediction is one of the major problems related to severe traumatic brain injury because clinical evaluation has an unreliable predictive value and complicates identification of patients with higher risk of developing seco...
متن کاملHypothermia improves outcome from traumatic brain injury.
Hypothermia for patients with severe traumatic brain injury (TBI) remains controversial despite a strong biological rationale and reasonable evidence from the literature. The "negative" Clifton study seems to have reduced enthusiasm for hypothermia, however the aim of this review is to analyse the evidence from all randomised controlled trials (RCT) and meta-analyses on this topic to determine ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Critical Care Medicine
سال: 2020
ISSN: 0090-3493
DOI: 10.1097/01.ccm.0000731080.52234.16