AIMC Topic: Subarachnoid Hemorrhage

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Development of machine learning models to prognosticate chronic shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage.

Acta neurochirurgica Jul 8, 2020
BACKGROUND: Shunt-dependent hydrocephalus significantly complicates subarachnoid hemorrhage (SAH), and reliable prognosis methods have been sought in recent years to reduce morbidity and costs associated with delayed treatment or neglected onset. Mac...
Machine Learning Prognosis Retrospective Studies Female Humans Middle Aged Cerebrospinal Fluid Shunts Hydrocephalus Subarachnoid Hemorrhage Risk Factors Aged Adult Male
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Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The goal of this study was to investigate the application of machine learning models capable of capturing multiplica tive and temporal clinical risk factors for outcome prediction inpatients with aneurysmal subarachnoid hemorrhage (aSAH). We examined...
Logistic Models Treatment Outcome Area Under Curve Subarachnoid Hemorrhage Prognosis Humans Risk Factors Neural Networks, Computer Cohort Studies Machine Learning ROC Curve
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Meteorological factors for subarachnoid hemorrhage in the greater Düsseldorf area revisited: a machine learning approach to predict the probability of admission of patients with subarachnoid hemorrhage.

Acta neurochirurgica Nov 23, 2019
BACKGROUND: Reported data regarding the relation between the incidence of spontaneous subarachnoid hemorrhage (SAH) and weather conditions are conflicting and do so far not allow prognostic models.
Germany Meteorological Concepts Hospitalization Aged Adult Male Middle Aged Models, Statistical Subarachnoid Hemorrhage Humans Machine Learning Female
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Machine Learning Analysis of Matricellular Proteins and Clinical Variables for Early Prediction of Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.

Molecular neurobiology Apr 13, 2019
Although delayed cerebral ischemia (DCI) is a well-known complication after subarachnoid hemorrhage (SAH), there are no reliable biomarkers to predict DCI development. Matricellular proteins (MCPs) have been reported relevant to DCI and expected to b...
Intracranial Aneurysm Models, Biological Subarachnoid Hemorrhage Brain Ischemia Humans Machine Learning Algorithms Female Aged Male
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Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.

Journal of neurointerventional surgery Nov 10, 2018
BACKGROUND AND PURPOSE: Delayed cerebral ischemia (DCI) is a severe complication in patients with aneurysmal subarachnoid hemorrhage. Several associated predictors have been previously identified. However, their predictive value is generally low. We ...
Humans Subarachnoid Hemorrhage Brain Ischemia Tomography, X-Ray Computed Machine Learning Sensitivity and Specificity Prospective Studies Cohort Studies Prognosis Predictive Value of Tests
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Predicting symptomatic cerebral vasospasm after aneurysmal subarachnoid hemorrhage with an artificial neural network in a pediatric population.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Aug 29, 2017
PURPOSE: Artificial neural networks (ANN) are increasingly applied to complex medical problem solving algorithms because their outcome prediction performance is superior to existing multiple regression models. ANN can successfully identify symptomati...
Child Population Surveillance Predictive Value of Tests Subarachnoid Hemorrhage Vasospasm, Intracranial Aneurysm, Ruptured Female Male Adolescent Humans Child, Preschool Neural Networks, Computer Retrospective Studies
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Prospective Assessment of a Symptomatic Cerebral Vasospasm Predictive Neural Network Model.

World neurosurgery Jul 5, 2016
INTRODUCTION: The author introduced a symptomatic cerebral vasospasm (SCV) prediction model built with freeware based on a 91-patient dataset. In a prospective test group of 22 patients at the same hospital, this model outperformed logistic regressio...
Male Humans Middle Aged Risk Assessment Neural Networks, Computer Subarachnoid Hemorrhage Cerebral Angiography Female Logistic Models Prospective Studies Vasospasm, Intracranial Aneurysm, Ruptured Reproducibility of Results Rupture, Spontaneous Intracranial Aneurysm Aged Ultrasonography, Doppler, Transcranial
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Machine learning and deep learning to identifying subarachnoid haemorrhage macrophage-associated biomarkers by bulk and single-cell sequencing.

Journal of cellular and molecular medicine May 1, 2024
We investigated subarachnoid haemorrhage (SAH) macrophage subpopulations and identified relevant key genes for improving diagnostic and therapeutic strategies. SAH rat models were established, and brain tissue samples underwent single-cell transcript...
Biomarkers Animals Male Molecular Docking Simulation Neural Networks, Computer Machine Learning Macrophages Rats Rats, Sprague-Dawley Disease Models, Animal Subarachnoid Hemorrhage Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis
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Prediction Models in Aneurysmal Subarachnoid Hemorrhage: Forecasting Clinical Outcome With Artificial Intelligence.

Neurosurgery Apr 15, 2021
BACKGROUND: Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is known to be challenging and complex. Machine learning approaches, of which feedforward artificial neural networks (ffANNs) are the most widely used, could contribute to...
Humans Area Under Curve Subarachnoid Hemorrhage Artificial Intelligence Brain Ischemia Treatment Outcome Patient-Specific Modeling
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Machine Learning-Driven Metabolomic Evaluation of Cerebrospinal Fluid: Insights Into Poor Outcomes After Aneurysmal Subarachnoid Hemorrhage.

Neurosurgery Apr 15, 2021
BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor neurologic outcomes. The biologic underpinnings of the morbidity and mortality associated with aSAH remain poorly understood.
Humans Machine Learning Biomarkers Retrospective Studies Metabolomics Metabolome Subarachnoid Hemorrhage
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