Paper Info
Title
A Finite-Horizon Markov Decision Process Model For Cancer Chemotherapy Treatment Planning: An Application To Sequential Treatment Decision Making In Clinical Trials
Abstract
Cancer is one of the major diseases that seriously threaten the human life. Increasing interest in cancer treatment strategies for chemotherapy treatment planning and optimal drug administration has created new applications for mathematical modeling. In this paper, we develop a finite-horizon Markov decision process (MDP) model for cancer chemotherapy treatment planning that could advise selection of the optimal policy for the chemotherapy regimen according to the patient's condition. The proposed model uses a finite action space of optimal cancer chemotherapy regimens for gastric and gastroesophageal cancers resulted from the proposed optimization model and a finite state space of patients' toxicity levels. Results show that the proposed approach yields the optimal sequence of gastric and gastroesophageal cancer chemotherapy treatment regimens for a period of chemotherapy treatment which makes possible designing clinical trials for sequential treatments.
Year
DOI
Venue
2020
10.1007/s10479-020-03706-5
ANNALS OF OPERATIONS RESEARCH
Keywords
DocType
Volume
Cancer, Clinical trial, Combination chemotherapy, Sequential treatment decision making, Markov decision process, Survival
Journal
295
Issue
ISSN
Citations 
1
0254-5330
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Nazila Bazrafshan100.34
M. M. Lotfi2295.07