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| Content Provider | Springer Nature Link |
|---|---|
| Author | He, Miao Zhao, Lei Powell, Warren B. |
| Copyright Year | 2009 |
| Abstract | In the controlled ovarian hyperstimulation (COH) cycle of the in vitro fertilization-embryo transfer (IVF-ET) therapy, the clinicians observe the patients’ responses to gonadotropin dosages through closely monitoring their physiological states, to balance the trade-off between pregnancy rate and ovarian hyperstimulation syndrome (OHSS) risk. In this paper, we model the clinical practice in the COH treatment cycle as a stochastic dynamic program, to capture the dynamic decision process and to account for each individual patient’s stochastic responses to gonadotropin administration. We discretize the problem into a Markov decision process and solve it using a slightly modified backward dynamic programming algorithm. We then evaluate the policies using simulation and explore the impact of patient misclassification. More specifically, we focus on patients with polycystic ovary syndrome (PCOS) or potential, that is, the patients that tend to be more sensitive to gonadotropin administration. |
| Starting Page | 223 |
| Ending Page | 245 |
| Page Count | 23 |
| File Format | |
| ISSN | 02545330 |
| Journal | Annals of Operations Research |
| Volume Number | 178 |
| Issue Number | 1 |
| e-ISSN | 15729338 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2009-05-20 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Controlled ovarian hyperstimulation Pregnancy rate OHSS risk Dosage decisions Markov decision process Theory of Computation Combinatorics Operations Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Management Science and Operations Research |
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