Clinical prediction models for aneurysmal subarachnoid hemorrhage: a systematic review
BNR Jaja, MD Cusimano, N Etminan, D Hanggi… - Neurocritical care, 2013 - Springer
Background Clinical prediction models can enhance clinical decision-making and research.
However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are …
However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are …
Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores
Reliable prediction of outcomes of aneurysmal subarachnoid hemorrhage (aSAH) based on
factors available at patient admission may support responsible allocation of resources as …
factors available at patient admission may support responsible allocation of resources as …
Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy
ZG Merali, CD Witiw, JH Badhiwala, JR Wilson… - PloS one, 2019 - journals.plos.org
Degenerative cervical myelopathy (DCM) is a spinal cord condition that results in
progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must …
progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must …
[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 …
Prediction models in aneurysmal subarachnoid hemorrhage: forecasting clinical outcome with artificial intelligence
BACKGROUND Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is
known to be challenging and complex. Machine learning approaches, of which feedforward …
known to be challenging and complex. Machine learning approaches, of which feedforward …
Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine
J Liu, H Xu, Q Chen, T Zhang, W Sheng, Q Huang… - …, 2019 - thelancet.com
Background Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with
high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH …
high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH …
Decision tree for adjuvant right ventricular support in patients receiving a left ventricular assist device
BACKGROUND: Right ventricular (RV) failure is a significant complication after implantation
of a left ventricular assist device (LVAD). It is therefore important to identify patients at risk a …
of a left ventricular assist device (LVAD). It is therefore important to identify patients at risk a …
CRP (C-reactive protein) in outcome prediction after subarachnoid hemorrhage and the role of machine learning
B Gaastra, P Barron, L Newitt, S Chhugani, C Turner… - Stroke, 2021 - Am Heart Assoc
Background and Purpose: Outcome prediction after aneurysmal subarachnoid hemorrhage
(aSAH) is challenging. CRP (C-reactive protein) has been reported to be associated with …
(aSAH) is challenging. CRP (C-reactive protein) has been reported to be associated with …
Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage
Background and purpose Delayed cerebral ischemia (DCI) is a severe complication in
patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have …
patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have …
Computational approaches for acute traumatic brain injury image recognition
E Lin, EL Yuh - Frontiers in neurology, 2022 - frontiersin.org
In recent years, there have been major advances in deep learning algorithms for image
recognition in traumatic brain injury (TBI). Interest in this area has increased due to the …
recognition in traumatic brain injury (TBI). Interest in this area has increased due to the …