Wu Y - 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: wu y. AMIA Annu Symp Proc. 2012;2012:1330-9. Epub 2012 Nov 3. AMIA Annu Symp Proc. 2012. PMID: 23304412 Free PMC article.

2

Comparing the value of mammographic features and genetic variants in breast cancer risk prediction.

Wu Y, Liu J, Page D, Peissig P, McCarty C, Onitilo AA, Burnside ES. Wu Y, et al. AMIA Annu Symp Proc. 2014 Nov 14;2014:1228-37. eCollection 2014. AMIA Annu Symp Proc. 2014. PMID: 25954434 Free PMC article.

3

A novel method to assess incompleteness of mammography reports.

Gimenez FJ, Wu Y, Burnside ES, Rubin DL. Gimenez FJ, et al. Among authors: wu y. AMIA Annu Symp Proc. 2014 Nov 14;2014:1758-67. eCollection 2014. AMIA Annu Symp Proc. 2014. PMID: 25954448 Free PMC article.

4

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.

Feld SI, Woo KM, Alexandridis R, Wu Y, Liu J, Peissig P, Onitilo AA, Cox J, Page CD, Burnside ES. Feld SI, et al. Among authors: wu y. AMIA Annu Symp Proc. 2018 Dec 5;2018:1253-1262. eCollection 2018. AMIA Annu Symp Proc. 2018. PMID: 30815167 Free PMC article.

5

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: wu y. AMIA Annu Symp Proc. 2011;2011:349-55. Epub 2011 Oct 22. AMIA Annu Symp Proc. 2011. PMID: 22195087 Free PMC article.

6

Using multidimensional mutual information to prioritize mammographic features for breast cancer diagnosis.

Wu Y, Vanness DJ, Burnside ES. Wu Y, et al. AMIA Annu Symp Proc. 2013 Nov 16;2013:1534-43. eCollection 2013. AMIA Annu Symp Proc. 2013. PMID: 24551425 Free PMC article.

7

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.

8

Leveraging Interaction between Genetic Variants and Mammographic Findings for Personalized Breast Cancer Diagnosis.

Liu J, Wu Y, Ong I, Page D, Peissig P, McCarty C, Onitilo AA, Burnside E. Liu J, et al. Among authors: wu y. AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:107-11. eCollection 2015. AMIA Jt Summits Transl Sci Proc. 2015. PMID: 26306250 Free PMC article.

9

Using Machine Learning to Identify Benign Cases with Non-Definitive Biopsy.

Kuusisto F, Dutra I, Nassif H, Wu Y, Klein ME, Neuman HB, Shavlik J, Burnside ES. Kuusisto F, et al. Among authors: wu y. Healthcom. 2013 Oct 9;2013(15th):283-285. doi: 10.1109/HealthCom.2013.6720685. Healthcom. 2013. PMID: 26501132 Free PMC article.

10

Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.

Burnside ES, Liu J, Wu Y, Onitilo AA, McCarty CA, Page CD, Peissig PL, Trentham-Dietz A, Kitchner T, Fan J, Yuan M. Burnside ES, et al. Among authors: wu y. Acad Radiol. 2016 Jan;23(1):62-9. doi: 10.1016/j.acra.2015.09.007. Epub 2015 Oct 26. Acad Radiol. 2016. PMID: 26514439 Free PMC article.

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