Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction
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Background: Accurate and interpretable models are essential for clinical decision-making, where predictions can directly impact patient care. Machine learning (ML) survival methods can handle complex multidimensional data and ach... ...
