2017
A 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
2012
Clinical entity recognition using structural support vector machines with rich features
Tang B, Cao H, Wu Y, Jiang M, Xu H. Clinical entity recognition using structural support vector machines with rich features. 2012, 13-20. DOI: 10.1145/2390068.2390073.Peer-Reviewed Original ResearchStructural support vector machineClinical entity recognitionSupport vector machineConditional Random FieldsNatural language processingEntity recognitionVector machineRich featuresNLP challengeSequential labeling algorithmLarge margin theoryUnsupervised word representationsClinical text processingConcept extraction taskLess training timeHighest F-measureTest setI2b2 NLP challengeExtraction taskTypical machineNER taskClinical textTraining timeF-measureLanguage processing