AI RESEARCH
Modeling Patient Care Trajectories with Transformer Hawkes Processes
arXiv CS.LG
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ArXi:2604.05844v1 Announce Type: new Patient healthcare utilization consists of irregularly time-stamped events, such as outpatient visits, inpatient admissions, and emergency encounters, forming individualized care trajectories. Modeling these trajectories is crucial for understanding utilization patterns and predicting future care needs, but is challenging due to temporal irregularity and severe class imbalance. In this work, we build on the Transformer Hawkes Process framework to model patient trajectories in continuous time.