Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records
Miranda O, Kiehl S, Qi X, Brannock M, Kosten T, Ryan N, Kirisci L, Wang Y, Wang L. Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records. BMC Medical Informatics And Decision Making 2024, 24: 154. PMID: 38835009, PMCID: PMC11151516, DOI: 10.1186/s12911-024-02554-8.Peer-Reviewed Original ResearchMeSH KeywordsAdultElectronic Health RecordsFemaleHumansMaleMiddle AgedNatural Language ProcessingStress Disorders, Post-TraumaticConceptsNatural language processingPost-traumatic stress disorderPost-traumatic stress disorder patientsRDoC domainsLanguage processingAbnormal instancesLeverage natural language processingDiagnosis of post-traumatic stress disorderDomain criteriaSimilarity threshold valueF1-macro scorePositive valence systemsHeightened cue reactivityElectronic medical recordsClinical notesF1 scoreCue reactivityStress disorderRDoCValence systemsReal-timeMental health improvementDisease trajectoryExtraction researchSensorimotor disturbances