Inverse-Weighted Survival Games

Deep models trained through maximum likelihood have achieved state-of-the-art results for survival analysis. Despite this training scheme, practitioners evaluate models under other criteria, such as binary classification losses at a chosen set of time horizons, e.g. Brier score (BS) and Bernoulli lo...

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Veröffentlicht in:	arXiv.org 2022-01
Hauptverfasser:	Han, Xintian, Goldstein, Mark, Puli, Aahlad, Wies, Thomas, Perotte, Adler J, Ranganath, Rajesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Criteria Failure Games Optimization Survival Survival analysis Training Weighting
Online-Zugang:	Volltext
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