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2010 – 2019
- 2018
[c4]Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside:
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA 2018- 2016
- [c3]Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong
, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside:
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978706 - 2014
- [j1]Adedayo A. Onitilo, Rachel V. Stankowski, Richard L. Berg, Jessica M. Engel, Gail M. Williams, Suhail A. Doi:
A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record. BMC Medical Informatics Decis. Mak. 14: 38 (2014) - [c2]Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside:
Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA 2014 - 2013
- [c1]Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside:
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA 2013
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