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Multi-objective Two-stage Stochastic Programming for Adaptive Interdisciplinary Pain Management with PLN Transition Models
This research uses a two-stage stochastic programming approach to optimize personal adaptive treatment strategies for pain management. The goal is to generate adaptive treatment strategies using statistics based optimization approaches that can be used by physicians to prescribe treatment to the patients. Five pain outcomes has been considered in objective function. This research uses Piecewise Linear Networks (PLN) to represent transition models. A mixed integer linear program is developed to integrate those PLN transition models into an optimization problem.