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Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models

Marco Piccininni, Maximilian Wechsung, Ben Van Calster, Jessica L. Rohmann, Stefan Konigorski, Maarten van Smeden

2024Journal of Biomedical Informatics36 citationsDOIOpen Access PDF

Topics & Concepts

UndersamplingResamplingComputer scienceEstimatorArtificial intelligenceCalibrationOversamplingRandom forestMachine learningBrier scoreStatisticsData miningMathematicsComputer networkBandwidth (computing)Imbalanced Data Classification TechniquesMachine Learning in HealthcareSepsis Diagnosis and Treatment
Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models | Litcius