Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
Neurosurg Focus
; 45(5): E7, 2018 11 01.
Article
em En
| MEDLINE
| ID: mdl-30453461
Palavras-chave
AR = aspect ratio; AUC = area under the ROC curve; AV = averaged velocity; CFD = computational fluid dynamics; DSA = digital subtraction angiography; FD = flow diverter; IA = intracranial aneurysm; ICA = internal carotid artery; IR = inflow rate; K-NN = K-nearest neighbor; LR = logistic regression; MCR = metal coverage rate; ML = machine learning; ND = neck diameter; NN = neural network; NR = neck ratio; OsR = ostium ratio; PD = pore density; PED = Pipeline embolization device; Pipeline embolization device; ROC = receiver operating characteristic; SE = standard error; SHR = shear rate; SR = size ratio; SVM = support vector machine; TT = turnover time; computational fluid dynamics; flow diverter; intracranial aneurysm; machine learning; predictive models
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Aneurisma Intracraniano
/
Embolização Terapêutica
/
Hidrodinâmica
/
Stents Metálicos Autoexpansíveis
/
Aprendizado de Máquina
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Neurosurg Focus
Assunto da revista:
NEUROCIRURGIA
Ano de publicação:
2018
Tipo de documento:
Article
País de publicação:
Estados Unidos