Burnside E - Search Results

1

Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women.

Nassif H, Wu Y, Page D, Burnside E. Nassif H, et al. Among authors: burnside e. AMIA Annu Symp Proc. 2012;2012:1330-9. Epub 2012 Nov 3. AMIA Annu Symp Proc. 2012. PMID: 23304412 Free PMC article.

2

Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography.

Burnside ES, Rubin DL, Shachter RD. Burnside ES, et al. Stud Health Technol Inform. 2004;107(Pt 1):13-7. Stud Health Technol Inform. 2004. PMID: 15360765

3

Knowledge discovery from structured mammography reports using inductive logic programming.

Burnside ES, Davis J, Costa VS, Dutra Ide C, Kahn CE Jr, Fine J, Page D. Burnside ES, et al. AMIA Annu Symp Proc. 2005;2005:96-100. AMIA Annu Symp Proc. 2005. PMID: 16779009 Free PMC article.

4

Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.

Burnside ES, Rubin DL, Fine JP, Shachter RD, Sisney GA, Leung WK. Burnside ES, et al. Radiology. 2006 Sep;240(3):666-73. doi: 10.1148/radiol.2403051096. Radiology. 2006. PMID: 16926323

5

Validation of results from knowledge discovery: mass density as a predictor of breast cancer.

Woods RW, Oliphant L, Shinki K, Page D, Shavlik J, Burnside E. Woods RW, et al. Among authors: burnside e. J Digit Imaging. 2010 Oct;23(5):554-61. doi: 10.1007/s10278-009-9235-3. Epub 2009 Sep 16. J Digit Imaging. 2010. PMID: 19760292 Free PMC article.

6

Socioeconomic disparities in the decline in invasive breast cancer incidence.

Sprague BL, Trentham-Dietz A, Burnside ES. Sprague BL, et al. Breast Cancer Res Treat. 2010 Aug;122(3):873-8. doi: 10.1007/s10549-010-0737-y. Epub 2010 Jan 20. Breast Cancer Res Treat. 2010. PMID: 20087648 Free PMC article.

7

Integrating machine learning and physician knowledge to improve the accuracy of breast biopsy.

Dutra I, Nassif H, Page D, Shavlik J, Strigel RM, Wu Y, Elezaby ME, Burnside E. Dutra I, et al. Among authors: burnside e. AMIA Annu Symp Proc. 2011;2011:349-55. Epub 2011 Oct 22. AMIA Annu Symp Proc. 2011. PMID: 22195087 Free PMC article.

8

Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Percha B, Nassif H, Lipson J, Burnside E, Rubin D. Percha B, et al. Among authors: burnside e. J Am Med Inform Assoc. 2012 Sep-Oct;19(5):913-6. doi: 10.1136/amiajnl-2011-000607. Epub 2012 Jan 29. J Am Med Inform Assoc. 2012. PMID: 22291166 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. 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

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.

Liu J, Peissig P, Zhang C, Burnside E, McCarty C, Page D. Liu J, et al. Among authors: burnside e. JMLR Workshop Conf Proc. 2012;22:712-721. JMLR Workshop Conf Proc. 2012. PMID: 23606924 Free PMC article.

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