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Tree-based survival analysis improves mortality prediction in cardiac surgery
11
Zitationen
6
Autoren
2023
Jahr
Abstract
Tree-based learning for survival analysis is a non-parametric and performant alternative to CPH modeling. GBMs offer interpretable modeling of non-linear relationships, promising to expose the most relevant risk factors and uncover new questions to guide future research.
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