2018
Predicting urinary tract infections in the emergency department with machine learning
Taylor RA, Moore CL, Cheung KH, Brandt C. Predicting urinary tract infections in the emergency department with machine learning. PLOS ONE 2018, 13: e0194085. PMID: 29513742, PMCID: PMC5841824, DOI: 10.1371/journal.pone.0194085.Peer-Reviewed Original ResearchConceptsExtreme gradient boostingGradient boostingXGBoost modelLarge diverse setHigh diagnostic error rateMachineAlgorithmXGBoostError rateDiverse setInadequate diagnostic performancePredictive modelSetPrediction toolsDiagnostic error rateBoostingCommon emergency department (ED) diagnosisFull setModel
2013
Point-of-Care Focused Cardiac Ultrasound for Prediction of Pulmonary Embolism Adverse Outcomes
Taylor RA, Davis J, Liu R, Gupta V, Dziura J, Moore CL. Point-of-Care Focused Cardiac Ultrasound for Prediction of Pulmonary Embolism Adverse Outcomes. Journal Of Emergency Medicine 2013, 45: 392-399. PMID: 23827166, DOI: 10.1016/j.jemermed.2013.04.014.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overEchocardiographyEmergency Service, HospitalFemaleHemorrhageHospital MortalityHumansMaleMiddle AgedPoint-of-Care SystemsPredictive Value of TestsPrognosisPulmonary EmbolismRecurrenceRespiratory InsufficiencyRetrospective StudiesRisk FactorsShockVenous ThromboembolismVentricular Dysfunction, RightConceptsRight ventricular strainHospital adverse outcomesRetrospective chart reviewPulmonary embolismAdverse outcomesEmergency departmentChart reviewCardiac ultrasoundHighest positive likelihood ratioRecurrent venous thromboembolismLow negative likelihood ratioSignificant predictorsEmergency care practitionersFocused cardiac ultrasoundFOCUS examinationPositive likelihood ratioNegative likelihood ratioMajor bleedingLikelihood ratioRespiratory failureVenous thromboembolismTransthoracic echocardiographyHospital admissionIndependent predictorsVentricular strain