2024
A Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System
Haque L, Tate J, Chew M, Caniglia E, Taddei T, Re V. A Validated Algorithm to Identify Hepatic Decompensation in the Veterans Health Administration Electronic Health Record System. Pharmacoepidemiology And Drug Safety 2024, 33: e70024. PMID: 39477692, DOI: 10.1002/pds.70024.Peer-Reviewed Original ResearchConceptsVeterans Health Administration dataHealth administrative dataAdministrative dataElectronic health record systemsHealth record systemsInternational Classification of DiseasesCoding algorithmOutpatient International Classification of DiseasesPositive predictive valueClassification of DiseasesHepatic decompensationDiagnosis codesPharmacoepidemiologic researchMedical recordsVeteransRecording systemValidation algorithmAlgorithmChronic liver diseaseDecompensationLiver diseasePredictive valueRecordsDiagnosisIdentification 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 ResearchConceptsImaging 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
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
2015
Development and Performance of an Algorithm to Estimate the Child-Turcotte-Pugh Score From a National Electronic Healthcare Database
Kaplan DE, Dai F, Aytaman A, Baytarian M, Fox R, Hunt K, Knott A, Pedrosa M, Pocha C, Mehta R, Duggal M, Skanderson M, Valderrama A, Taddei TH, Group V. Development and Performance of an Algorithm to Estimate the Child-Turcotte-Pugh Score From a National Electronic Healthcare Database. Clinical Gastroenterology And Hepatology 2015, 13: 2333-2341.e6. PMID: 26188137, PMCID: PMC4655141, DOI: 10.1016/j.cgh.2015.07.010.Peer-Reviewed Original ResearchConceptsCTP scoreAdministrative databasesChild-TurcottePugh scoreVeterans Health Administration Corporate Data WarehouseLaboratory dataCox proportional hazards regressionSeverity of ascitesTransplant-free survivalSeverity IndexInternational normalized ratioClinical laboratory valuesHarrell's C-statisticProportional hazards regressionDiseases version 9U.S. Veterans Health AdministrationVeterans Health AdministrationMulticenter collaborative studyLarge administrative databaseLong-term survivalDisease severity scoreValidity of diagnosesCorporate Data WarehouseElectronic healthcare databasesCommon Procedural Terminology