2019
White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models
Payabvash S, Palacios E, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Cuneo D, Marco E, Mukherjee P. White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity 2019, 9: 209-220. PMID: 30661372, PMCID: PMC6444925, DOI: 10.1089/brain.2018.0658.Peer-Reviewed Original Research
2013
Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital Acquired Pneumonia in Stroke Patients
Qian J, Payabvash S, Kemmling A, Lev MH, Schwamm LH, Betensky RA. Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital Acquired Pneumonia in Stroke Patients. Biometrics 2013, 70: 153-163. PMID: 24320930, PMCID: PMC3954429, DOI: 10.1111/biom.12113.Peer-Reviewed Original ResearchConceptsMassachusetts General HospitalCase-control studyStroke patientsAcute ischemic stroke patientsBrain regionsMatched Case-Control StudyHospital-Acquired PneumoniaIschemic stroke patientsLarge prospective studiesUnconditional logistic regressionCase-control designSpecific brain regionsAcquired PneumoniaAcute infarctionClinical featuresProspective studyClinical variablesGeneral HospitalEpidemiologic studiesPatientsModern imagingLarger studyLogistic regressionAppropriate statistical analysisHAP studies
2010
Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans
Payabvash S, Kamalian S, Fung S, Wang Y, Passanese J, Kamalian S, Souza LC, Kemmling A, Harris GJ, Halpern EF, González RG, Furie KL, Lev MH. Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans. American Journal Of Neuroradiology 2010, 31: 1661-1668. PMID: 20488905, PMCID: PMC3640318, DOI: 10.3174/ajnr.a2125.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAphasiaBrainComputer SimulationFemaleHumansLogistic ModelsMaleModels, NeurologicalMultivariate AnalysisPattern Recognition, AutomatedPerfusion ImagingPrognosisRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityStrokeSubtraction TechniqueTomography, X-Ray ComputedConceptsBrain CTPNIHSS scoreStroke onsetFunctional outcomeFirst-time ischemic strokeProximal cerebral artery occlusionMultiple logistic regression analysisMultivariate logistic regression modelMultivariate modelDischarge NIHSS scoreTotal NIHSS scoreAcute stroke patientsCerebral artery occlusionTime of dischargeCT perfusion imagingLogistic regression analysisMultivariate logistic modelCT perfusion scansLogistic regression modelsAdmission CTAArtery occlusionInfarct volumeIschemic strokeClinical predictorsConsecutive patients