On a 360-patient NHL trial dataset, a transfer-learned ARX-GRU network predicts platelet nadirs better than mechanistic and hybrid UDE models when at least three dense training cycles are available, while mechanistic models remain competitive under sparse data.
Dale, and Gary H
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Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics
On a 360-patient NHL trial dataset, a transfer-learned ARX-GRU network predicts platelet nadirs better than mechanistic and hybrid UDE models when at least three dense training cycles are available, while mechanistic models remain competitive under sparse data.