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Research

Modeling Patient Care Trajectories with Transformer Hawkes Processes

Transformers and Hawkes processes combine attention mechanisms with point process modeling to predict temporal patterns in patient care sequences, advancing clinical outcome forecasting.

Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Research paper applying Transformer-based Hawkes processes to model temporal patterns in patient care trajectories. Combines attention-based neural networks with point process modeling for healthcare time-series prediction.

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