Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge
Zhang Y, Zhang O, Wu Y, Lee H, Xu J, Xu H, Roberts K. Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge. Journal Of Biomedical Informatics 2017, 75: s129-s137. PMID: 28624644, PMCID: PMC5705397, DOI: 10.1016/j.jbi.2017.06.014.Peer-Reviewed Original ResearchConceptsPsychiatric symptomsCandidate symptomMental disordersPsychiatric notesList of symptomsMayo ClinicClinical dataSymptom recognitionPatient experiencePersonalized preventionSymptomsAmerican Psychiatric AssociationAbstractTextClinical conceptsPsychiatric AssociationPhenotypic classificationDisordersClinical textMIMIC-IIHealthcare knowledgeConclusionSubjective descriptionsClinicDiseaseDiagnosisA hybrid approach to automatic de-identification of psychiatric notes
Lee H, Wu Y, Zhang Y, Xu J, Xu H, Roberts K. A hybrid approach to automatic de-identification of psychiatric notes. Journal Of Biomedical Informatics 2017, 75: s19-s27. PMID: 28602904, PMCID: PMC5705430, DOI: 10.1016/j.jbi.2017.06.006.Peer-Reviewed Original ResearchConceptsPsychiatric notesCEGS N-GRIDNatural language processing systemsRule-based componentTask Track 1Language processing systemRule-based approachDe-identificationDomain adaptationRich featuresProcessing systemHybrid approachN gridTrack 1Clinical dataTest setSystem performanceMachineHealth informationHybrid systemSystemClinical applicationTaskInformationData