Inverse optimization for assessing emerging technologies in breast cancer screening

Author:

Ayer Turgay

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Reference51 articles.

1. Abbeel, P., & Ng, A. Y. (2004). Apprenticeship learning via inverse reinforcement learning. In Proceedings of the twenty-first international conference on Machine learning (p. 1). New York: ACM.

2. Breast cancer facts and figures: 2009–2010. Atlanta: American Cancer Society.

3. Arias, E. (2006). United States life tables, 2004. National vital statistics reports, 54(14), 1–40.

4. Ayer, T. (2011). Optimal policies for personalized breast cancer screening. PhD thesis, University of Wisconsin-Madison

5. Ayer, T., Alagoz, O., & Stout, N. K. (2012). A POMDP approach to personalize mammography screening decisions. Operations Research, 60(1), 1017–1018.

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