Improving model transferability for clinical note section classification models using continued pretraining
Zhou W, Yetisgen M, Afshar M, Gao Y, Savova G, Miller T. Improving model transferability for clinical note section classification models using continued pretraining. Journal Of The American Medical Informatics Association 2023, 31: 89-97. PMID: 37725927, PMCID: PMC10746297, DOI: 10.1093/jamia/ocad190.Peer-Reviewed Original ResearchConceptsClinical note sectionsIn-domainClassification modelNatural language processing tasksNeural network-based methodTemporal information extractionLanguage processing tasksDrop of accuracyBERT-based modelsNetwork-based methodsInformation extractionCross-domainModel transferabilityF1 scoreProcessing tasksSocial determinantsBaseline modelPretrainingClassificationImprove model transferabilityNotes sectionModel performanceAccuracyImproved modelDatasetImproving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles.
Zhou W, Dligach D, Afshar M, Gao Y, Miller T. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ACL Proceedings 2023, 2023: 125-130. PMID: 37786810, PMCID: PMC10544420.Peer-Reviewed Original Research
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