Eliciting Patients' Revealed Preferences: An Inverse Markov Decision Process Approach

. Direct approaches, which involve asking patients various abstract questions, have significant drawbacks. We propose a new approach that infers patient preferences based on observed decisions via inverse optimization techniques. We illustrate our methods on the timing of a living-donor liver transplant. Key words: Markov decision processes; health care; inverse optimization; quality-adjusted life years History: Received on March 22, 2010. Accepted on July 13, 2010, after 2 revisions. Published online in Articles in Advance September 3, 2010.

• Type: Journal
• Year: 2010
• Where: DA
• Authors: Zeynep Erkin, Matthew D. Bailey, Lisa M. Maillart, Andrew J. Schaefer, Mark S. Roberts
• Keywords: Computer Vision, DA 2010, Inverse Optimization Techniques, Living-donor Liver Transplant, Various Abstract Questions