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 networksLack of Standardization of the Level of Encephalopathy on EEG: a Barrier to the Widespread Use of EEG for Brain Monitoring (P4.5-001)
Maciel C, Sternberg E, Desai R, Baron-Lee J, Rampal N, Hirsch L, Gilmore E. Lack of Standardization of the Level of Encephalopathy on EEG: a Barrier to the Widespread Use of EEG for Brain Monitoring (P4.5-001). Neurology 2019, 92 DOI: 10.1212/wnl.92.15_supplement.p4.5-001.Peer-Reviewed Original Research