Characterizing 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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