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Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram
Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic.
A Trainable Reconciliation Method for Hierarchical Time-Series
In numerous applications, it is required to produce forecasts for multiple time-series at different hierarchy levels.
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