Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients
The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for
significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …
significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …
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) …
Predicting outcome in patients with brain injury: differences between machine learning versus conventional statistics
Defining reliable tools for early prediction of outcome is the main target for physicians to
guide care decisions in patients with brain injury. The application of machine learning (ML) …
guide care decisions in patients with brain injury. The application of machine learning (ML) …
Use of support vector machines approach via combat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER …
The prediction of functional outcome after mild traumatic brain injury (mTBI) is challenging.
Conventional magnetic resonance imaging (MRI) does not do a good job of explaining the …
Conventional magnetic resonance imaging (MRI) does not do a good job of explaining the …
Comparison of machine learning models to predict long-term outcomes after severe traumatic brain injury
OBJECTIVE An estimated 1.5 million people die every year worldwide from traumatic brain
injury (TBI). Physicians are relatively poor at predicting long-term outcomes early in patients …
injury (TBI). Physicians are relatively poor at predicting long-term outcomes early in patients …
Machine learning algorithms for improved prediction of in-hospital outcomes after moderate-to-severe traumatic brain injury: a Chinese retrospective cohort study
Z Zhang, SJ Wang, K Chen, AA Yin, W Lin, YL He - Acta neurochirurgica, 2023 - Springer
Aim Controversy remains high over the superiority of advanced machine learning (ML)
algorithms to conventional logistic regression (LR) in the prediction of prognosis after …
algorithms to conventional logistic regression (LR) in the prediction of prognosis after …
Predicting return to work after traumatic brain injury using machine learning and administrative data
Background Accurate patient-specific predictions on return-to-work after traumatic brain
injury (TBI) can support both clinical practice and policymaking. The use of machine learning …
injury (TBI) can support both clinical practice and policymaking. The use of machine learning …
Machine learning‐based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series
R Ding, M Deng, H Wei, Y Zhang, L Wei… - CNS Neuroscience …, 2024 - Wiley Online Library
Aims To assess the predictive value of early‐stage physiological time‐series (PTS) data and
non‐interrogative electronic health record (EHR) signals, collected within 24 h of ICU …
non‐interrogative electronic health record (EHR) signals, collected within 24 h of ICU …
Application of machine learning models for early detection and accurate classification of type 2 diabetes
Early detection of diabetes is essential to prevent serious complications in patients. The
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
purpose of this work is to detect and classify type 2 diabetes in patients using machine …
Machine Learning Approach for the Prediction of In-Hospital Mortality in Traumatic Brain Injury Using Bio-Clinical Markers at Presentation to the Emergency …
Background: Accurate prediction of in-hospital mortality is essential for better management
of patients with traumatic brain injury (TBI). Machine learning (ML) algorithms have been …
of patients with traumatic brain injury (TBI). Machine learning (ML) algorithms have been …