Development of machine learning models to prognosticate chronic shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage - Muscas, Giovanni; Matteuzzi, Tommaso; Becattini, Eleonora; Orlandini, Simone; Battista, Francesca; Laiso, Antonio; Nappini, Sergio; Limbucci, Nicola; Renieri, Leonardo; Carangelo, Biagio R.; Mangiafico, Salvatore; Della Puppa, Alessandro (Acta neurochirurgica, 2020)
Keywords: Adult; Aged; Aneurysm; Cerebrospinal Fluid Shunts; Female; Humans; Hydrocephalus; Hydrocephalus - etiology; Hydrocephalus - surgery; Interventional Radiology; Learning algorithms; Machine Learning; Male; Medicine; Medicine & Public Health; Middle Aged; Minimally Invasive Surgery; Morbidity; Neurology; Neuroradiology; Neurosurgery; Original - Vascular Neurosurgery - Other; Original Article - Vascular Neurosurgery - Other; Prognosis; Retrospective Studies; Risk Factors; Risk groups; Stroke; Subarachnoid hemorrhage; Subarachnoid Hemorrhage - complications; Surgical Orthopedics; Vascular Neurosurgery – Other; Shunt-dependency; Hydrocephalus; Subarachnoid hemorrhage; Prognostic models; Machine learning