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Found 3 papers, 3 papers with code
Neural Fine-Gray: Monotonic neural networks for competing risks
Time-to-event modelling, known as survival analysis, differs from standard regression as it addresses censoring in patients who do not experience the event of interest.
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Machine learning risks reinforcing biases present in data, and, as we argue in this work, in what is absent from data.
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Observational data in medicine arise as a result of the complex interaction between patients and the healthcare system.
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