Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission

C Rubbert, KR Patil, K Beseoglu, C Mathys, R May… - European …, 2018 - Springer
Objectives The pathogenesis leading to poor functional outcome after aneurysmal
subarachnoid haemorrhage (aSAH) is multifactorial and not fully understood. We evaluated …

Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores

NF Dengler, VI Madai, M Unteroberdörster, E Zihni… - Neurosurgical …, 2021 - Springer
Reliable prediction of outcomes of aneurysmal subarachnoid hemorrhage (aSAH) based on
factors available at patient admission may support responsible allocation of resources as …

Machine learning using presentation CT perfusion imaging for predicting clinical outcomes in patients with aneurysmal subarachnoid Hemorrhage

P Yin, J Wang, C Zhang, J Yuan… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. Prediction of outcomes in patients with aneurysmal subarachnoid
hemorrhage (aSAH) is challenging using current clinical predictors. OBJECTIVE. The …

Prediction of outcome after aneurysmal subarachnoid hemorrhage: development and validation of the SAFIRE grading scale

CE van Donkelaar, NA Bakker, J Birks, NJGM Veeger… - Stroke, 2019 - Am Heart Assoc
Background and Purpose—Early prediction of clinical outcome after aneurysmal
subarachnoid hemorrhage (aSAH) is still lacking accuracy. In this observational cohort …

Comparison of prognostic models for functional outcome in aneurysmal subarachnoid hemorrhage based on machine learning

H Wang, TL Bothe, C Deng, S Lv, PH Khedkar… - World Neurosurgery, 2023 - Elsevier
Background Controversy exists regarding the superiority of the performance of prognostic
tools based on advanced machine learning (ML) algorithms for patients with aneurysmal …

Prediction models in aneurysmal subarachnoid hemorrhage: forecasting clinical outcome with artificial intelligence

G de Jong, R Aquarius, B Sanaan, RHMA Bartels… - …, 2021 - journals.lww.com
BACKGROUND Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is
known to be challenging and complex. Machine learning approaches, of which feedforward …

Comparing radiographic scores for prediction of complications and outcome of aneurysmal subarachnoid hemorrhage: Which performs best?

M Said, S Odensass, M Gümüs… - European Journal of …, 2023 - Wiley Online Library
Background and purpose Aneurysmal subarachnoid hemorrhage (aSAH) is characterized
by high morbidity and mortality proceeding from the initial severity and following …

External validation of a neural network model in aneurysmal subarachnoid hemorrhage: a comparison with conventional logistic regression models

J Feghali, SA Sattari, EE Wicks, A Gami… - …, 2022 - journals.lww.com
BACKGROUND: Interest in machine learning (ML)–based predictive modeling has led to the
development of models predicting outcomes after aneurysmal subarachnoid hemorrhage …

Development of a complication-and treatment-aware prediction model for favorable functional outcome in aneurysmal subarachnoid hemorrhage based on machine …

N Maldaner, AM Zeitlberger, M Sosnova… - …, 2021 - journals.lww.com
Development of a Complication- and Treatment-Aware Predictio... : Neurosurgery
Development of a Complication- and Treatment-Aware Prediction Model for Favorable …

Multivariable and Bayesian network analysis of outcome predictors in acute aneurysmal subarachnoid hemorrhage: review of a pure surgical series in the post …

Z Zador, W Huang, M Sperrin… - Operative …, 2018 - journals.lww.com
BACKGROUND Following the International Subarachnoid Aneurysm Trial (ISAT), evolving
treatment modalities for acute aneurysmal subarachnoid hemorrhage (aSAH) has changed …