2024
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
Kresevic S, Giuffrè M, Ajcevic M, Accardo A, Crocè L, Shung D. Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. Npj Digital Medicine 2024, 7: 102. PMID: 38654102, PMCID: PMC11039454, DOI: 10.1038/s41746-024-01091-y.Peer-Reviewed Original ResearchClinical decision support systemsFew-shot learningLanguage modelImprove clinical decision support systemsDecision support systemText similarity scoresText similarityAblation studiesImprove overall accuracyGeneration accuracyRight informationAccurate outputSupport systemTransform healthcareIncreasing levels of complexityHospital workflowOverall accuracyRight providerTurbo modelLearning strategiesLevel of complexityLearningRetrievalCorpus of textsAccuracyImproving large language models for clinical named entity recognition via prompt engineering
Hu Y, Chen Q, Du J, Peng X, Keloth V, Zuo X, Zhou Y, Li Z, Jiang X, Lu Z, Roberts K, Xu H. Improving large language models for clinical named entity recognition via prompt engineering. Journal Of The American Medical Informatics Association 2024, 31: 1812-1820. PMID: 38281112, PMCID: PMC11339492, DOI: 10.1093/jamia/ocad259.Peer-Reviewed Original ResearchClinical NER tasksNER taskTask-specific promptsEntity recognitionLanguage modelTraining samplesState-of-the-art modelsFew-shot learningState-of-the-artMinimal training dataTask-specific knowledgeF1-socreAnnotated samplesConcept extractionModel performanceAnnotated datasetsTraining dataF1 scoreTask descriptionFormat specificationsComplex clinical dataOptimal performanceTaskEvaluation schemaGPT model
2023
Prompting for Few-shot Adverse Drug Reaction Recognition from Online Reviews
Chang C, Chang F, Hwang S, Yang C. Prompting for Few-shot Adverse Drug Reaction Recognition from Online Reviews. 2023, 00: 168-175. DOI: 10.1109/ichi57859.2023.00032.Peer-Reviewed Original ResearchNamed Entity RecognitionUser-generated contentSocial networking sitesRecognition performanceSize of labeled dataFew-shot learningGeneral-purpose datasetsFew-shotEntity recognitionReview datasetLabeled dataLanguage modelDetection modelLearned knowledgeTransfer knowledgeADR detectionDatasetOnline reviewsNetworking sitesExperimental resultsRecognitionClinical notesLabor-intensivePerformanceLearning
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