Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation

被引：13

作者：

He, Miao ^{[1
]}

Zhao, Lei ^{[1
]}

Powell, Warren B. ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Ind Engn, Beijing 100084, Peoples R China

[2] Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08544 USA

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2012年 / 222卷 / 02期

关键词：

OR in health services; Approximate dynamic programming; Controlled ovarian hyperstimulation; Ovarian hyperstimulation syndrome; SERIES INPUT PROCESSES; SYNDROME OHSS; IVF; STEP;

D O I：

10.1016/j.ejor.2012.03.049

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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. (c) 2012 Elsevier B.V. All rights reserved.

引用

页码：328 / 340

页数：13

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