Journal
JOURNAL OF BIOMEDICAL INFORMATICS
Volume 68, Issue -, Pages 50-57Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jbi.2017.02.012
Keywords
Breast cancer; Dynamic treatment strategy; Personalized medicine; Markov Decision Process
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We compare methods to develop an adaptive strategy for therapy choice in a class of breast cancer patients, as an example of approaches to personalize therapies for individual characteristics and each patient's response to therapy. Our model maintains a Markov belief about the effectiveness of the different therapies and updates it as therapies are administered and tumor images are observed, reflecting tumor response. We compare three different approximate methods to solve our analytical model against standard medical practice and show significant potential benefit of the computed dynamic strategies to limit tumor growth and to reduce the number of time periods patients are given chemotherapy,with its attendant side effects. (C) 2017 Published by Elsevier Inc.
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