2024
Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding
Shung D, Chan C, You K, Nakamura S, Saarinen T, Zheng N, Simonov M, Li D, Tsay C, Kawamura Y, Shen M, Hsiao A, Sekhon J, Laine L. Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology 2024, 167: 1198-1212. PMID: 38971198, PMCID: PMC11493512, DOI: 10.1053/j.gastro.2024.06.030.Peer-Reviewed Original ResearchElectronic health recordsGlasgow-Blatchford scoreEmergency departmentVery-low-risk patientsRisk scoreOakland scoreMachine learning modelsStructured data fieldsClinical risk scoreGastrointestinal bleedingAll-cause mortalityHealth recordsLearning modelsManual data entrySecondary analysisRisk stratification scoresAssess proportionRed blood-cell transfusionPrimary outcomeProportion of patientsData entryOvert gastrointestinal bleedingPrimary analysisReceiver-operating-characteristic curveVery-low-risk
2021
Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules
Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.Peer-Reviewed Original ResearchConceptsNatural language processingElectronic health recordsLanguage processingNLP algorithmSystematized NomenclatureReal timeAcute gastrointestinal bleedingBidirectional Encoder RepresentationsDecision rulesEHR-based phenotyping algorithmsGastrointestinal bleedingRisk stratification scoresEncoder RepresentationsData elementsPhenotyping algorithmStratification scoresHealth recordsAlgorithmPhenotyping of patientsEmergency department patientsTime of presentationRisk stratification modelED reviewDeploymentExternal validation
2018
Severity and Outcomes of Upper Gastrointestinal Bleeding With Bloody Vs. Coffee-Grounds Hematemesis
Laine L, Laursen SB, Zakko L, Dalton HR, Ngu JH, Schultz M, Stanley AJ. Severity and Outcomes of Upper Gastrointestinal Bleeding With Bloody Vs. Coffee-Grounds Hematemesis. The American Journal Of Gastroenterology 2018, 113: 358. PMID: 29380820, DOI: 10.1038/ajg.2018.5.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlood PreservationBlood TransfusionEsophageal and Gastric VaricesFemaleGastrointestinal HemorrhageHeart RateHematemesisHemoglobinsHemostasis, EndoscopicHumansMaleMelenaMiddle AgedMortalityProspective StudiesRecurrenceRisk AssessmentSeverity of Illness IndexUpper Gastrointestinal TractConceptsCoffee ground emesisBloody emesisHemostatic interventionUpper gastrointestinal bleedingComposite end pointRisk stratification scoresSystolic blood pressureTiming of endoscopyPredictors of outcomeBeats/minGastrointestinal bleedingConsecutive patientsPrimary outcomeSevere bleedingStratification scoresBlood pressureProspective studyHematemesisMelenaEmesisHigh mortalityEnd pointMortalityOutcomesSeverity