2023
Complexity Measurement for Multitask Classification Problems in Machine Learning
Villuendas-Rey Y, Taylor R. Complexity Measurement for Multitask Classification Problems in Machine Learning. 2023, 00: 6-11. DOI: 10.1109/iscmi59957.2023.10458451.Peer-Reviewed Original ResearchClassification problemMachine learningHandling real-world scenariosReal-world scenariosRough set theoryComplexity measuresMachine learning methodsPublic datasetsGranular computingData quality measuresTarget labelsLearning methodsProblem spaceSet theoryMultitask problemsIncomplete datasetsProblem difficultyMachineQuality measuresDatasetPreliminary evaluationIntrinsic measureClassificationLearningMultitasking
2018
Predicting urinary tract infections in the emergency department with machine learning
Taylor RA, Moore CL, Cheung KH, Brandt C. Predicting urinary tract infections in the emergency department with machine learning. PLOS ONE 2018, 13: e0194085. PMID: 29513742, PMCID: PMC5841824, DOI: 10.1371/journal.pone.0194085.Peer-Reviewed Original ResearchConceptsExtreme gradient boostingGradient boostingXGBoost modelLarge diverse setHigh diagnostic error rateMachineAlgorithmXGBoostError rateDiverse setInadequate diagnostic performancePredictive modelSetPrediction toolsDiagnostic error rateBoostingCommon emergency department (ED) diagnosisFull setModel