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 ResearchConceptsNatural 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 disturbancesDeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health
Miranda O, Fan P, Qi X, Wang H, Brannock M, Kosten T, Ryan N, Kirisci L, Wang L. DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health. Journal Of Personalized Medicine 2024, 14: 94. PMID: 38248795, PMCID: PMC10817272, DOI: 10.3390/jpm14010094.Peer-Reviewed Original ResearchPost-traumatic stress disorderPost-traumatic stress disorder patientsSocial determinants of healthDeterminants of healthMultiple social determinants of healthSubstance use disorder riskSubstance use disordersMultiple social determinantsPredictive of alcoholMedical CenterElectronic medical recordsStress disorderDisorder patientsAverage C-statisticSDoH informationMental disordersSocial determinantsHigh-risk eventsDisorder riskASUDUniversity of Pittsburgh Medical CenterIndicator of increased riskEMR dataZip codesMedication usePrediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models
Miranda O, Fan P, Qi X, Wang H, Brannock M, Kosten T, Ryan N, Kirisci L, Wang L. Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models. Drug And Alcohol Dependence 2024, 255: 111066. PMID: 38217979, PMCID: PMC10853953, DOI: 10.1016/j.drugalcdep.2023.111066.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderAlcohol use disorderComorbid post-traumatic stress disorderStress disorderUse disorderCognitive behavioral therapyElectronic medical recordsBehavioral therapyMental disordersNeighborhood-level social determinants of healthNeighborhood-level social determinantsSocial determinants of healthArea under the receiver operating curveDeterminants of healthVeteran dataMedical recordsDisordersPsychotherapyPrediction of adverse eventsVeteran statusPatient's increased riskHigh-risk populationAnalyzed electronic medical recordsUniversity of Pittsburgh Medical CenterAdverse events