2024
Large language models for biomedicine: foundations, opportunities, challenges, and best practices
Sahoo S, Plasek J, Xu H, Uzuner Ö, Cohen T, Yetisgen M, Liu H, Meystre S, Wang Y. Large language models for biomedicine: foundations, opportunities, challenges, and best practices. Journal Of The American Medical Informatics Association 2024, 31: 2114-2124. PMID: 38657567, PMCID: PMC11339493, DOI: 10.1093/jamia/ocae074.Peer-Reviewed Original ResearchNatural language processingPrompt tuningNLP applicationsLanguage modelState-of-the-art performanceNLP practitionersNatural language processing applicationsBiomedical NLP applicationsPre-training datasetNatural language understandingNeural network architecture modelNatural language generationBiomedical informatics communityNetwork architecture modelAmerican Medical Informatics Association (AMIAPrompt-tuningFew-shotZero-ShotNLP challengeNLP tasksReinforcement learningHuman feedbackLanguage generationLanguage understandingEvaluation metrics
2017
Clinical Word Sense Disambiguation with Interactive Search and Classification.
Wang Y, Zheng K, Xu H, Mei Q. Clinical Word Sense Disambiguation with Interactive Search and Classification. AMIA Annual Symposium Proceedings 2017, 2016: 2062-2071. PMID: 28269966, PMCID: PMC5333264.Peer-Reviewed Original ResearchConceptsDomain knowledgeHuman expertsWSD modelClinical textCurrent active learning methodsWord sense disambiguation systemNatural language processing applicationsMachine learning processLanguage processing applicationsWord sense disambiguationActive learning methodsContextual wordsInteractive searchWord ambiguityLearning methodsSense disambiguationProcessing applicationsAmbiguous instancesSearch processDisambiguation systemEvaluation corpusLearning processExpertsQueriesClassifier