2019
Comparison of machine learning models for seizure prediction in hospitalized patients
Struck AF, Rodriguez‐Ruiz A, Osman G, Gilmore EJ, Haider HA, Dhakar MB, Schrettner M, Lee JW, Gaspard N, Hirsch LJ, Westover MB, Consortium C. Comparison of machine learning models for seizure prediction in hospitalized patients. Annals Of Clinical And Translational Neurology 2019, 6: 1239-1247. PMID: 31353866, PMCID: PMC6649418, DOI: 10.1002/acn3.50817.Peer-Reviewed Original ResearchConceptsLow-risk patientsNegative predictive valueEvaluation cohortContinuous EEGElastic net logistic regressionMulticenter databaseRisk stratificationSeizure riskPatientsPredictive valueComparable AUCSecondary analysisLogistic regressionCohortFirst hourSeizure predictionEEG recordingsEEGRisk calibrationLarge proportionSeizuresComplex neural networks
2017
Ictal-Interictal Continuum: When to Worry About the Continuous Electroencephalography Pattern
Cormier J, Maciel CB, Gilmore EJ. Ictal-Interictal Continuum: When to Worry About the Continuous Electroencephalography Pattern. Seminars In Respiratory And Critical Care Medicine 2017, 38: 793-806. PMID: 29262437, DOI: 10.1055/s-0037-1607987.Peer-Reviewed Original ResearchConceptsNonconvulsive status epilepticusIctal-interictal continuumNonconvulsive seizuresEEG patternsSecondary brain injuryContinuous electroencephalography monitoringCritical care physiciansClear clinical significanceIIC patternsIll patientsStatus epilepticusCare physiciansCEEG monitoringElectroencephalography monitoringSeizure riskBrain injuryGuideline statementsClinical dilemmaClinical significanceNeuronal stressClinical approachDefinitive guidelinesElectroencephalography patternsPotential associationEarly detection