2024
BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.
Fodeh S, Wang R, Murphy T, Kidwai-Khan F, Leo-Summers L, Tessier-Sherman B, Hsieh E, Womack J. BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. Health Informatics Journal 2024, 30: 14604582241295930. PMID: 39526751, DOI: 10.1177/14604582241295930.Peer-Reviewed Original ResearchMeSH KeywordsAbsorptiometry, PhotonAlgorithmsBone DensityFemaleHumansMaleNatural Language ProcessingConceptsT-score valuesT-scoreNLP algorithmsDXA scansFemoral neck T-scoreNatural language processing algorithmsBone mineral density dataLanguage processing algorithmsBone mineral densityExtract annotationsRegular expressionsTest dataProcessing algorithmsDXA reportsMineral densityAlgorithmMultivariate linear regressionClinical face validityRisk factorsPresence of informationDXANLPClinical validationClinical expertsAccuracyIdentification 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
2011
Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study
Re V, Lim JK, Goetz MB, Tate J, Bathulapalli H, Klein MB, Rimland D, Rodriguez‐Barradas M, Butt AA, Gibert CL, Brown ST, Kidwai F, Brandt C, Dorey‐Stein Z, Reddy KR, Justice AC. Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study. Pharmacoepidemiology And Drug Safety 2011, 20: 689-699. PMID: 21626605, PMCID: PMC3131229, DOI: 10.1002/pds.2148.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHepatic decompensation eventsPositive predictive valueHigh positive predictive valueLaboratory abnormalitiesAging Cohort StudyDecompensation eventsDiagnostic codesCohort studyHepatic decompensationVariceal hemorrhageOutpatient diagnostic codesChronic liver diseaseSpontaneous bacterial peritonitisImpact of medicationLiver dysfunctionBacterial peritonitisLiver diseaseMedical recordsOutpatient codesPredictive valueNatural historyAbnormalitiesEpidemiologic researchPatients