A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption
Huyang Xu, Yuanchen Fang, Chun-An Chou, Nasser Fard, Luo Li
Topics & Concepts
Scheduling (production processes)Markov decision processPandemicElective surgeryQueueing theoryOperations researchComputer scienceReinforcement learningMedicineOperations managementMedical emergencyMarkov processCoronavirus disease 2019 (COVID-19)SurgeryEngineeringDiseaseInfectious disease (medical specialty)Artificial intelligenceComputer networkStatisticsMathematicsPathologyHealthcare Operations and Scheduling OptimizationCardiac, Anesthesia and Surgical OutcomesCOVID-19 and healthcare impacts