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Erasmus University Medical Center
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A new neural network structure can effectively model hierarchical data while addressing the biases introduced by missing data, but faces challenges with stability.
Super Learner, an ensemble method, can flexibly combine predictions from diverse statistical and machine learning models to improve dynamic time-to-event predictions, outperforming individual models.
