Julie Alberge, Gaël Varoquaux, Judith Abécassis
This paper investigates the importance of loss functions and architectures in survival analysis with competing risks. The authors find that a cumulative incidence loss function is decisive for competing risks and that the choice of backbone matters, but is secondary. This leads to a new state-of-the-art model.
The research has practical significance in healthcare and predictive maintenance, where understanding competing risks is crucial. It can lead to better decision-making and improved outcomes. The findings can be applied to various domains, including medicine and engineering.
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