2024
Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis
Yin Y, Workman T, Blosnich J, Brandt C, Skanderson M, Shao Y, Goulet J, Zeng-Treitler Q. Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis. International Journal Of Public Health 2024, 69: 1606855. PMID: 38770181, PMCID: PMC11103011, DOI: 10.3389/ijph.2024.1606855.Peer-Reviewed Original ResearchLGBT statusSuicide death riskLGBT patientsLGBTCrude suicide mortality rateSuicide mortality ratesDeath riskProtective factorsAssociated with reduced riskTransgenderCase-control studyVeteransOlder veteransUS veteransHealthcare systemSuicideSuicide riskStatusReligionRisk factorsDeath risk factorsHigh riskLow riskMortality rate
2020
A Prototype Application to Identify LGBT Patients in Clinical Notes
Workman T, Goulet J, Brandt C, Skanderson M, Wang R, Warren A, Eleazer J, Gordon K, Zeng-Treitler Q. A Prototype Application to Identify LGBT Patients in Clinical Notes. 2020, 00: 4270-4275. DOI: 10.1109/bigdata50022.2020.9378109.Peer-Reviewed Original ResearchElectronic health record notesPrototype applicationLGBT patientsRule-based patternLarge data sourcesBinary classification taskRecord notesData scientistsMachine learningClassification taskPositive predictive valueData researchData sourcesTest setClinical relevancePredictive valueHealthcare providersPatientsClinical notesHealth disparitiesLittle workDisproportional burdenApplicationsTaskLearning
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