Cost-sensitive Active Learning for Phenotyping of Electronic Health Records.
Ji Z, Wei Q, Franklin A, Cohen T, Xu H. Cost-sensitive Active Learning for Phenotyping of Electronic Health Records. AMIA Joint Summits On Translational Science Proceedings 2019, 2019: 829-838. PMID: 31259040, PMCID: PMC6568101.Peer-Reviewed Original ResearchAnnotation timeElectronic health recordsActive learningMachine learning-based methodsCost-sensitive active learningLarge annotated datasetLearning-based methodsHealth recordsUse casesAnnotated datasetUser 1AL algorithmUser 2Phenotyping algorithmAL approachSecondary useAlgorithmBetter performanceActual timeLearningExperimental resultsBreast cancer patientsDatasetModel performancePassive learning