Burnside ES - Search Results

1

Using Collaborative Simulation Modeling to Develop a Web-Based Tool to Support Policy-Level Decision Making About Breast Cancer Screening Initiation Age.

Burnside ES, Lee SJ, Bennette C, Near AM, Alagoz O, Huang H, van den Broek JJ, Kim JY, Ergun MA, van Ravesteyn NT, Stout NK, de Koning HJ, Mandelblatt JS. Burnside ES, et al. MDM Policy Pract. 2017 Jul;2(2):2381468317717982. doi: 10.1177/2381468317717982. Epub 2017 Jul 8. MDM Policy Pract. 2017. PMID: 29376135 Free PMC article.

2

A logistic regression model based on the national mammography database format to aid breast cancer diagnosis.

Chhatwal J, Alagoz O, Lindstrom MJ, Kahn CE Jr, Shaffer KA, Burnside ES. Chhatwal J, et al. Among authors: burnside es. AJR Am J Roentgenol. 2009 Apr;192(4):1117-27. doi: 10.2214/AJR.07.3345. AJR Am J Roentgenol. 2009. PMID: 19304723 Free PMC article.

3

Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.

Burnside ES, Davis J, Chhatwal J, Alagoz O, Lindstrom MJ, Geller BM, Littenberg B, Shaffer KA, Kahn CE Jr, Page CD. Burnside ES, et al. Radiology. 2009 Jun;251(3):663-72. doi: 10.1148/radiol.2513081346. Epub 2009 Apr 14. Radiology. 2009. PMID: 19366902 Free PMC article.

4

Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation.

Ayer T, Chhatwal J, Alagoz O, Kahn CE Jr, Woods RW, Burnside ES. Ayer T, et al. Among authors: burnside es. Radiographics. 2010 Jan;30(1):13-22. doi: 10.1148/rg.301095057. Epub 2009 Nov 9. Radiographics. 2010. PMID: 19901087 Free PMC article.

5

Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Ayer T, Alagoz O, Chhatwal J, Shavlik JW, Kahn CE Jr, Burnside ES. Ayer T, et al. Among authors: burnside es. Cancer. 2010 Jul 15;116(14):3310-21. doi: 10.1002/cncr.25081. Cancer. 2010. PMID: 20564067 Free PMC article.

6

Computer-aided diagnostic models in breast cancer screening.

Ayer T, Ayvaci MU, Liu ZX, Alagoz O, Burnside ES. Ayer T, et al. Among authors: burnside es. Imaging Med. 2010 Jun 1;2(3):313-323. doi: 10.2217/IIM.10.24. Imaging Med. 2010. PMID: 20835372 Free PMC article.

7

Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors.

Chhatwal J, Alagoz O, Burnside ES. Chhatwal J, et al. Among authors: burnside es. Oper Res. 2010 Nov 1;58(6):1577-1591. doi: 10.1287/opre.1100.0877. Oper Res. 2010. PMID: 21415931 Free PMC article.

8

What is the optimal threshold at which to recommend breast biopsy?

Burnside ES, Chhatwal J, Alagoz O. Burnside ES, et al. PLoS One. 2012;7(11):e48820. doi: 10.1371/journal.pone.0048820. Epub 2012 Nov 7. PLoS One. 2012. PMID: 23144986 Free PMC article.

9

A comprehensive methodology for determining the most informative mammographic features.

Wu Y, Alagoz O, Ayvaci MU, Munoz Del Rio A, Vanness DJ, Woods R, Burnside ES. Wu Y, et al. Among authors: burnside es. J Digit Imaging. 2013 Oct;26(5):941-7. doi: 10.1007/s10278-013-9588-5. J Digit Imaging. 2013. PMID: 23503987 Free PMC article.

10

The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions.

Ayvaci MU, Alagoz O, Burnside ES. Ayvaci MU, et al. Among authors: burnside es. Manuf Serv Oper Manag. 2012 Apr;14(4):600-617. doi: 10.1287/msom.1110.0371. Manuf Serv Oper Manag. 2012. PMID: 24027436 Free PMC article.

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