2024
Improving 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
2018
Extended Analysis of Topological-Pattern-Based Ontology Enrichment
He Z, Keloth V, Chen Y, Geller J. Extended Analysis of Topological-Pattern-Based Ontology Enrichment. 2023 IEEE International Conference On Bioinformatics And Biomedicine (BIBM) 2018, 00: 1641-1648. PMID: 30854243, PMCID: PMC6402505, DOI: 10.1109/bibm.2018.8621564.Peer-Reviewed Original ResearchUnified Medical Language SystemTarget ontologyNational Cancer Institute ThesaurusMaintenance of biomedical ontologiesPairs of ontologiesMedical Language SystemHuman expertsCross-ontologyReference ontologyBiomedical ontologiesOntologyLanguage systemExpert resourcesHierarchical relationshipsTheoretical analysisApproximate locationTopological patternsThesaurusReference conceptTaskConceptClassificationMethodUnified