Machine learning for predicting poor outcomes in aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis involving 8,445 participants
I Mohammadzadeh, B Niroomand… - Clinical Neurology and …, 2024 - Elsevier
Early prediction of poor outcomes in patients impacted with aneurysmal subarachnoid
hemorrhage (aSAH) is crucial for timely intervention and effective management. This …
hemorrhage (aSAH) is crucial for timely intervention and effective management. This …
Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review
A Warman, AL Kalluri, TD Azad - Neurosurgical Focus, 2023 - thejns.org
OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …
increasingly prevalent in the neurosurgical literature. However, little is known about the …
[HTML][HTML] XGBoost machine learning algorithm for prediction of outcome in aneurysmal subarachnoid hemorrhage
R Wang, J Zhang, B Shan, M He… - … Disease and Treatment, 2022 - ncbi.nlm.nih.gov
Background Patients suffered aneurysmal subarachnoid hemorrhage (aSAH) usually
develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …
develop poor survival and functional outcome. Evaluating aSAH patients at high risk of poor …
Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms
N Stroh, H Stefanits, A Maletzky, S Kaltenleithner… - Scientific Reports, 2023 - nature.com
Abstract Machine learning (ML) has revolutionized data processing in recent years. This
study presents the results of the first prediction models based on a long-term monocentric …
study presents the results of the first prediction models based on a long-term monocentric …
Dynamic prediction of mechanical thrombectomy outcome for acute ischemic stroke patients using machine learning
Y Hu, T Yang, J Zhang, X Wang, X Cui, N Chen, J Zhou… - Brain Sciences, 2022 - mdpi.com
The unfavorable outcome of acute ischemic stroke (AIS) with large vessel occlusion (LVO) is
related to clinical factors at multiple time points. However, predictive models used for …
related to clinical factors at multiple time points. However, predictive models used for …
Should individual timeline and serial CT/MRI panels of all patients be presented in acute brain insult cohorts? A pilot study of 45 patients with decompressive …
AH Autio, J Paavola, J Tervonen, M Lång… - Acta …, 2023 - Springer
Purpose Our review of acute brain insult articles indicated that the patients' individual (i)
timeline panels with the defined time points since the emergency call and (ii) serial brain …
timeline panels with the defined time points since the emergency call and (ii) serial brain …
Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach
Early and reliable prediction of shunt-dependent hydrocephalus (SDHC) after aneurysmal
subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce …
subarachnoid hemorrhage (aSAH) may decrease the duration of in-hospital stay and reduce …
Analysis of cerebral spinal fluid drainage and intracranial pressure peaks in patients with subarachnoid hemorrhage
A Früh, P Truckenmüller, D Wasilewski, P Vajkoczy… - Neurocritical Care, 2024 - Springer
Background After aneurysmal subarachnoid hemorrhage (aSAH), elevated intracranial
pressure (ICP) due to disrupted cerebrospinal fluid (CSF) dynamics is a critical concern. An …
pressure (ICP) due to disrupted cerebrospinal fluid (CSF) dynamics is a critical concern. An …
Machine learning for outcome prediction of neurosurgical aneurysm treatment: Current methods and future directions
Introduction Machine learning algorithms have received increased attention in neurosurgical
literature for improved accuracy over traditional predictive methods. In this review, the …
literature for improved accuracy over traditional predictive methods. In this review, the …
Comparison of prognostic models for functional outcome in aneurysmal subarachnoid hemorrhage based on machine learning
Background Controversy exists regarding the superiority of the performance of prognostic
tools based on advanced machine learning (ML) algorithms for patients with aneurysmal …
tools based on advanced machine learning (ML) algorithms for patients with aneurysmal …