Integrating Drug Target Information in Deep Learning Models to Predict the Risk of Adverse Events in Patients with Comorbid Post-Traumatic Stress Disorder and Alcohol Use Disorder
Miranda O, Qi X, Brannock M, Whitworth R, Kosten T, Ryan N, Haas G, Kirisci L, Wang L. Integrating Drug Target Information in Deep Learning Models to Predict the Risk of Adverse Events in Patients with Comorbid Post-Traumatic Stress Disorder and Alcohol Use Disorder. Biomedicines 2024, 12: 2772. DOI: 10.3390/biomedicines12122772.Peer-Reviewed Original ResearchPost-traumatic stress disorderAlcohol use disorder patientsAlcohol use disorderComorbid post-traumatic stress disorderUse disorderOpioid use disorderStress disorderSuicidal behaviorPotential therapeutic medicationsDeep learning modelsTarget informationDisordersElectronic medical recordsLearning modelsDepressionPotential therapeutic effectsNeighborhood-level social determinants of healthUniversity of Pittsburgh Medical CenterRisk of adverse eventsNeighborhood-level social determinantsSocial determinants of healthAdverse eventsMedicationAdverse outcomesDeterminants of healthPrediction 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