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Article

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

AMIA ... Annual Symposium proceedings. AMIA Symposium - 1 Jan 2014

Wu Yirong, Liu Jie, Page David, Peissig Peggy, McCarty Catherine, Onitilo Adedayo A, Burnside Elizabeth S

Abstract excerpt

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 variants from an existing personalized medicine data repository. We trained and tested Bayesian networks for...

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Identifiers

PMID: 25954434
PMCID: PMC4419896

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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