Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.
Detmer F, Hadad S, Chung B, Mut F, Slawski M, Juchler N, Kurtcuoglu V, Hirsch S, Bijlenga P, Uchiyama Y, Fujimura S, Yamamoto M, Murayama Y, Takao H, Koivisto T, Frösen J, Cebral J. Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics. Neurosurgical FOCUS 2019, 47: e16. PMID: 31261120, PMCID: PMC7132362, DOI: 10.3171/2019.4.focus19145.Peer-Reviewed Original ResearchConceptsArea under the receiver operating characteristic curveFinnish patientsPatient populationRisks associated with treatmentReceiver operating characteristic curveRupture riskInteraction termsAneurysm characteristicsIncidental aneurysmsModels' area under the receiver operating characteristic curvePatient characteristics