A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment. (arXiv:2112.08549v2 [cs.LG] UPDATED)

Patient scheduling is a difficult task involving stochastic factors such as
the unknown arrival times of patients. Similarly, the scheduling of
radiotherapy for cancer treatments needs to handle patients with different
urgency levels when allocating resources. High priority patients may arrive at
any time, and there must be resources available to accommodate them. A common
solution is to reserve a flat percentage of treatment capacity for emergency
patients. However, this solution can result in overdue treatments for urgent
patients, a …

arxiv case case study patient prediction scheduling study treatment