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
2022
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
Kidwai-Khan F, Rentsch C, Pulk R, Alcorn C, Brandt C, Justice A. Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. Frontiers In Big Data 2022, 5: 1059088. PMID: 36458283, PMCID: PMC9705957, DOI: 10.3389/fdata.2022.1059088.Peer-Reviewed Original ResearchK-Nearest NeighborSupport vector machinePreventable adverse eventsDecision support mechanismAdverse eventsCurrent medicationsExtreme gradient boostingPredictive modelingSoftware interfaceMachine learningVeterans AffairsData integrationF1 scoreLarge integrated healthcare systemNearest NeighborPatient's current medicationsVector machineOutpatient clinic visitsRandom forestDecision treeGradient boostingAUC scoreComplex treatment decisionsEHR dataIntegrated healthcare system