Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
Neurosurg Focus
; 45(5): E7, 2018 11 01.
Article
en En
| MEDLINE
| ID: mdl-30453461
Palabras clave
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
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Aneurisma Intracraneal
/
Embolización Terapéutica
/
Hidrodinámica
/
Stents Metálicos Autoexpandibles
/
Aprendizaje Automático
Tipo de estudio:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Neurosurg Focus
Asunto de la revista:
NEUROCIRURGIA
Año:
2018
Tipo del documento:
Article