Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine.
Doan S, Xu H. Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine. Proceedings - International Conference On Computational Linguistics 2010, 2010: 259-266. PMID: 26848286, PMCID: PMC4736747.Peer-Reviewed Original ResearchSupport vector machineHospital discharge summariesConditional Random FieldsDischarge summariesMedication namesRelated entitiesClinical textVector machineType of medicationNamed Entity Recognition (NER) taskEntity recognition taskRule-based systemBest F-scoreI2b2 NLP challengeTypes of featuresF-scoreI2b2 challengeNLP challengeNER systemSemantic featuresRecognition taskMachineData setsRandom fieldsBetter performanceAn automated approach to calculating the daily dose of tacrolimus in electronic health records.
Xu H, Doan S, Birdwell K, Cowan J, Vincz A, Haas D, Basford M, Denny J. An automated approach to calculating the daily dose of tacrolimus in electronic health records. AMIA Joint Summits On Translational Science Proceedings 2010, 2010: 71-5. PMID: 21347153, PMCID: PMC3041548.Peer-Reviewed Original ResearchElectronic health recordsUnstructured clinical dataNatural language processingHealth recordsTime-consuming taskUnstructured formatClinical textLanguage processingAutomated ApproachDaily doseData setsTest casesDetailed drug informationDrug mentionsDaily dosesClinical dataMedication informationClinical researchMedication namesDrug informationInformationTacrolimusMedicationsDoseTask