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A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
Therefore, in this study, for binary classifiers running in a long time period, we proposed to adjust these performance metrics for sample size and class distribution, so that a fair comparison can be made between two time periods.
Continual Deterioration Prediction for Hospitalized COVID-19 Patients
In this paper, we first verify the assumption that clinical variables could have time-varying effects on COVID-19 outcomes.
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