2023
Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?
Redd D, Workman T, Shao Y, Cheng Y, Tekle S, Garvin J, Brandt C, Zeng-Treitler Q. Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data? Medical Sciences 2023, 11: 37. PMID: 37367736, PMCID: PMC10304046, DOI: 10.3390/medsci11020037.Peer-Reviewed Original ResearchConceptsSelf-reported supplement useSupplement useClinical notesStructured medical recordsUnstructured clinical notesPrescription medicationsClinical recordsMedical recordsPhysician guidanceDietary supplementsNatural language processing toolsPatientsNatural language processingFolic acidHealthcare facilitiesLanguage processing toolsSupplementsF1 scoreLanguage processingPotential interactionsNLP performanceProcessing toolsNLP extractionExtra informationMedications
2016
Natural Language Processing for Understanding Contraceptive Use at the VA
Scotch M, Brandt C, Leung S, Womack J. Natural Language Processing for Understanding Contraceptive Use at the VA. Annals Of Information Systems 2016, 19: 249-259. DOI: 10.1007/978-3-319-23294-2_12.Peer-Reviewed Original ResearchSelf-reported contraceptive useWomen Veterans Cohort StudyElectronic health recordsContraceptive useFemale veteransRetrospective chart reviewVA electronic health recordHealthcare facilitiesChart reviewCohort studyPharmacy recordsMedical recordsDrug FileContraceptive informationPatientsContraceptivesHealth recordsGold standardPermanent methodsNatural language processing pipelineVeteransCareAdditional researchLanguage processing pipelineVA