A jackknife approach to estimate the prediction uncertainty from binary classifiers under right-censoring
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Clinical prediction models are developed to estimate a patient's risk for a specific outcome, and machine learning is frequently employed to improve prediction accuracy. When the outcome is some event that happens over time, binary classifiers can predict the... ...
