Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach
Zhou W, Prater L, Goldstein E, Mooney S. Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach. JMIR Mental Health 2023, 10: e49359. PMID: 37847549, PMCID: PMC10618876, DOI: 10.2196/49359.Peer-Reviewed Original ResearchNational Violent Death Reporting SystemFirearm suicidesViolent Death Reporting SystemFirearm suicide ratesDeath Reporting SystemFirearm suicide deathsMedical examinationFirearm suicide decedentsLaw enforcementViolent deathSuicide decedentsNarrative reportsSuicide ratesEnforcementSuicideSources of dataCircumstancesUnited StatesSuicide deathsCoronerReporting systemLawFirearmRare circumstancesReport dataCharacterizing Female Firearm Suicide Circumstances: A Natural Language Processing and Machine Learning Approach
Goldstein E, Mooney S, Takagi-Stewart J, Agnew B, Morgan E, Haviland M, Zhou W, Prater L. Characterizing Female Firearm Suicide Circumstances: A Natural Language Processing and Machine Learning Approach. American Journal Of Preventive Medicine 2023, 65: 278-285. PMID: 36931986, DOI: 10.1016/j.amepre.2023.01.030.Peer-Reviewed Original ResearchConceptsNational Violent Death Reporting SystemViolent Death Reporting SystemFirearm suicide ratesDeath Reporting SystemInterpersonal disputesCoroner/medical examinerIntimate partnersMale firearm suicide rateSuicide ratesFirearm suicidesSuicidal antecedentsNatural language processing pipelineReporting systemDisputesLanguage processing pipelinePositive predictive valueSuicideProcessing pipelineImmediate familyPredictive valueNatural language processingNationalSupport vector machineNarrative reportsMachine learning approach
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