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
Association of an Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients
Struck AF, Ustun B, Ruiz AR, Lee JW, LaRoche SM, Hirsch LJ, Gilmore EJ, Vlachy J, Haider HA, Rudin C, Westover MB. Association of an Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients. JAMA Neurology 2017, 74: 1419-1424. PMID: 29052706, PMCID: PMC5822188, DOI: 10.1001/jamaneurol.2017.2459.Peer-Reviewed Original ResearchConceptsIll patientsSeizure riskContinuous EEGRisk factorsMAIN OUTCOMEScoring systemBilateral independent periodic dischargesEpilepsy Monitoring Unit (EMU) admissionPeriodic dischargesBrief rhythmic dischargesProspective multicenter databaseSeizure risk factorsSporadic epileptiform dischargesRisk of seizuresRhythmic delta activitySimple scoring systemEligible patientsProbability of seizuresUnit admissionAcute illnessHospitalized patientsMulticenter databasePrior seizuresClinical historyClinical indications