Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation
نویسندگان
چکیده
In the controlled ovarian hyperstimulation (COH) treatment, clinicians monitor the patients’ physiological responses to gonadotropin administration to tradeoff between pregnancy probability and ovarian hyperstimulation syndrome (OHSS). We formulate the dosage control problem in the COH treatment as a stochastic dynamic program and design approximate dynamic programming (ADP) algorithms to overcome the well-known curses of dimensionality in Markov decision processes (MDP). Our numerical experiments indicate that the piecewise linear (PWL) approximation ADP algorithms can obtain policies that are very close to the one obtained by the MDP benchmark with significantly less solution time. 2012 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 222 شماره
صفحات -
تاریخ انتشار 2012