Prevalent Atherosclerotic Cardiovascular Disease Among Veterans by Sexual Orientation.
Streed C, Duncan M, Heier K, Workman T, Beach L, Caceres B, O'Leary J, Skanderson M, Goulet J. Prevalent Atherosclerotic Cardiovascular Disease Among Veterans by Sexual Orientation. Journal Of The American Heart Association 2024, 13: e036898. PMID: 39508159, DOI: 10.1161/jaha.124.036898.Peer-Reviewed Original ResearchPrevalent atherosclerotic cardiovascular diseasesAtherosclerotic cardiovascular diseaseIndex dateCardiovascular diseaseVeterans Health Administration dataPoor cardiovascular healthHealth administrative dataPrimary care appointmentsLGB veteransCardiovascular risk factorsCare appointmentsLogistic regression analysisSexual orientationCardiovascular healthVeteran populationHispanic ethnicityAdministrative dataNationwide cohortVeteransBaseline dateNatural language processing algorithmsSubstance useRisk factorsRegression analysisLanguage processing algorithmsA roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Kidwai-Khan F, Wang R, Skanderson M, Brandt C, Fodeh S, Womack J. A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness. Journal Of Biomedical Informatics 2024, 154: 104654. PMID: 38740316, PMCID: PMC11144439, DOI: 10.1016/j.jbi.2024.104654.Peer-Reviewed Original ResearchArtificial intelligenceMachine learningNatural language processing techniquesRaw dataLife cycle of dataLanguage processing techniquesInput dataApplication of artificial intelligenceArtificial intelligence processesMachine learning algorithmsTransform raw dataNatural language processing algorithmsArtificial intelligence methodsApplication of AILanguage processing algorithmsLearning algorithmsIntelligent processingError rateIntelligence methodsData governanceProcessing algorithmsData expertiseAlgorithmic biasElectronic health record dataData frameworks