2024
Identification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAlgorithmsCohort StudiesFatty LiverFemaleHIV InfectionsHumansMaleMiddle AgedNatural Language ProcessingSensitivity and SpecificityConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reports
2020
Models for acute on chronic liver failure development and mortality in a veterans affairs cohort
Xiao KY, Hubbard RA, Kaplan DE, Taddei TH, Goldberg DS, Mahmud N. Models for acute on chronic liver failure development and mortality in a veterans affairs cohort. Hepatology International 2020, 14: 587-596. PMID: 32519219, PMCID: PMC7656856, DOI: 10.1007/s12072-020-10060-y.Peer-Reviewed Original ResearchMeSH KeywordsAcute-On-Chronic Liver FailureAgedCohort StudiesFemaleHumansMaleMiddle AgedModels, TheoreticalRetrospective StudiesRisk FactorsROC CurveSensitivity and SpecificityUnited StatesVeteransConceptsACLF mortalityCompensated cirrhosisChronic liver failure developmentEnd-stage liver diseaseHigh short-term mortalityLarge North American cohortDevelopment of ACLFVeterans Affairs cohortAsian Pacific AssociationChronic liver failureEscalation of careNovel risk prediction modelShort-term mortalityMultivariable logistic regressionNorth American cohortRisk prediction modelGood discriminationACLF developmentACLF patientsACLF scoreLiver (APASL) definitionsMELD-sodiumTransplant evaluationRisk patientsCirrhosis patients
2018
Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer
Wadia R, Akgun K, Brandt C, Fenton BT, Levin W, Marple AH, Garla V, Rose MG, Taddei T, Taylor C. Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer. JCO Clinical Cancer Informatics 2018, 2: 1-7. PMID: 30652545, PMCID: PMC6873962, DOI: 10.1200/cci.17.00069.Peer-Reviewed Original Research