3 papers
math.OC2026
Uncertainty Quantification in Data-Driven Inverse Optimization via Bayesian Inference
Timothy C. Y. Chan, Nathan Sandholtz, Nasrin Yousefi
Inverse optimization (IO) is used to estimate unknown parameters of an optimization model from observed decisions. In the data-driven context, the estimated parameters are inherent…
math.OC2021
Inverse Optimization on Hierarchical Networks: An Application to Breast Cancer Clinical Pathways
Timothy C. Y. Chan, Katharina Forster, Steven Habbous +4
Clinical pathways are standardized processes that outline the steps required for managing a specific disease. However, patient pathways often deviate from clinical pathways. Measur…
stat.AP2019
An Inverse Optimization Approach to Measuring Clinical Pathway Concordance
Timothy C. Y. Chan, Maria Eberg, Katharina Forster +4
Clinical pathways outline standardized processes in the delivery of care for a specific disease. Patient journeys through the healthcare system, though, can deviate substantially f…