2024
Large language models facilitate the generation of electronic health record phenotyping algorithms
Yan C, Ong H, Grabowska M, Krantz M, Su W, Dickson A, Peterson J, Feng Q, Roden D, Stein C, Kerchberger V, Malin B, Wei W. Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal Of The American Medical Informatics Association 2024, 31: 1994-2001. PMID: 38613820, PMCID: PMC11339509, DOI: 10.1093/jamia/ocae072.Peer-Reviewed Original ResearchPhenotyping algorithmsLanguage modelElectronic health recordsHigh-quality algorithmsElectronic health record phenotyping algorithmsSQL executionSQL queriesDomain expertsKnowledge discoveryLimited scalabilityData modelCritical metricsAlgorithmic logicAlgorithmCore taskAccurate algorithmHealth recordsSQLElectronic medical recordsExpert evaluation scoresHealth researchEvidence synthesisEHR phenotypesLogicChatGPT
2006
Pivoting approaches for bulk extraction of Entity–Attribute–Value data
Dinu V, Nadkarni P, Brandt C. Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods And Programs In Biomedicine 2006, 82: 38-43. PMID: 16556470, DOI: 10.1016/j.cmpb.2006.02.001.Peer-Reviewed Original ResearchConceptsEntity attributesClinical study data management systemsData management systemNumber of attributesDatabase serverHash tableClinical patient dataValue dataManagement systemAlternative algorithmsPatient dataSQLServerRepositoryAlgorithmComplex approachFormatDataAttributesParameter formatOne-columnExtractionAnalytical programPerformanceMemory
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