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Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction

The goal of this study was to compare the value of mammographic features and genetic variants for breast cancer risk prediction with Bayesian reasoning and information theory. We conducted a retrospective case-control study, collecting mammographic findings and high-frequency/low-penetrance genetic...

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Veröffentlicht in:AMIA Annu Symp Proc
Hauptverfasser: Wu, Yirong, Liu, Jie, Page, David, Peissig, Peggy, McCarty, Catherine, Onitilo, Adedayo A., Burnside, Elizabeth S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Medical Informatics Association 2014
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4419896/
https://ncbi.nlm.nih.gov/pubmed/25954434
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