The Australian Traumatic Brain Injury Initiative: single data dictionary to predict outcome for people with moderate-severe traumatic brain injury
M Fitzgerald, JL Ponsford, R Hill… - Journal of …, 2024 - liebertpub.com
In this series of eight articles, the Australian Traumatic Brain Injury Initiative (AUS-TBI)
consortium describes the Australian approach used to select the common data elements …
consortium describes the Australian approach used to select the common data elements …
The Australian Traumatic Brain Injury Initiative: statement of working principles and rapid review of methods to define data dictionaries for neurological conditions
The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to develop a health
informatics approach to collect data predictive of outcomes for persons with moderate …
informatics approach to collect data predictive of outcomes for persons with moderate …
[HTML][HTML] Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
AUS-TBI: the australian health informatics approach to predict outcomes and monitor intervention efficacy after moderate-to-severe traumatic brain injury
Predicting and optimizing outcomes after traumatic brain injury (TBI) remains a major
challenge because of the breadth of injury characteristics and complexity of brain …
challenge because of the breadth of injury characteristics and complexity of brain …
[HTML][HTML] Salivary S100 calcium-binding protein beta (S100B) and neurofilament light (NfL) after acute exposure to repeated head impacts in collegiate water polo …
Blood-based biomarkers of brain injury may be useful for monitoring brain health in athletes
at risk for concussions. Two putative biomarkers of sport-related concussion, neurofilament …
at risk for concussions. Two putative biomarkers of sport-related concussion, neurofilament …
[HTML][HTML] A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months
Background Traumatic brain injury (TBI), which occurs commonly worldwide, is among the
more costly of health and socioeconomic problems. Accurate prediction of favorable …
more costly of health and socioeconomic problems. Accurate prediction of favorable …
Integrating, harmonizing, and curating studies with high-frequency and hourly physiological data: Proof of concept from seven traumatic brain injury data sets
Research in severe traumatic brain injury (TBI) has historically been limited by studies with
relatively small sample sizes that result in low power to detect small, yet clinically meaningful …
relatively small sample sizes that result in low power to detect small, yet clinically meaningful …
[HTML][HTML] Artificial intelligence technologies in neurosurgery: a systematic literature review using topic modeling. Part II: Research objectives and perspectives
GV Danilov, MA Shifrin, KV Kotik… - Современные …, 2020 - cyberleninka.ru
The current increase in the number of publications on the use of artificial intelligence (AI)
technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the …
technologies in neurosurgery indicates a new trend in clinical neuroscience. The aim of the …
Mortality of surgically treated neurotrauma in elderly patients and the development of a prediction score: Geriatric Neurotrauma Mortality Score
L Greuter, M Ullmann, R Guzman, J Soleman - World Neurosurgery, 2023 - Elsevier
Background As the population worldwide is aging, the need for surgery in elderly patients
with neurotrauma is increasing. The aim of this study was to compare the outcome of elderly …
with neurotrauma is increasing. The aim of this study was to compare the outcome of elderly …
The patient with severe traumatic brain injury: clinical decision-making: the first 60 min and beyond
JTJM Van Dijck, RHMA Bartels… - Current opinion in …, 2019 - journals.lww.com
Recent efforts by multiple medical groups have contributed to reduce uncertainty and to
improve care and outcome along the entire chain of care. Although an unlimited endeavor …
improve care and outcome along the entire chain of care. Although an unlimited endeavor …