Comparison of statistical learning approaches for cerebral aneurysm rupture assessment
Detmer F, Lückehe D, Mut F, Slawski M, Hirsch S, Bijlenga P, von Voigt G, Cebral J. Comparison of statistical learning approaches for cerebral aneurysm rupture assessment. International Journal Of Computer Assisted Radiology And Surgery 2019, 15: 141-150. PMID: 31485987, DOI: 10.1007/s11548-019-02065-2.Peer-Reviewed Original ResearchMeSH KeywordsAneurysm, RupturedDecision TreesHemodynamicsHumansIntracranial AneurysmModels, StatisticalROC CurveSupport Vector MachineConceptsSupport vector machineK-nearest neighborLinear support vector machineMultilayer perceptronRandom forestRBF-SVMMachine learningDecision treeTrained support vector machineNeural network classifierArea under the receiver operating characteristic curveStatistical learning approachNetwork classifierRBF kernelML classifiersPatient-related informationK-nearestVector machineClassifierLearning approachAneurysm rupture statusRupture statusTest casesReceiver operating characteristic curveResultsThe area under the receiver operating characteristic curve