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Article

Demographic Calibration Gaps in Breast Cancer Risk Prediction: Introducing the Demographic Calibration Gap Score

2026-06-22

Abstract excerpt

<h4>Background</h4> Most breast cancer prediction studies skip calibration reporting entirely. Fewer still examine calibration by demographic subgroup. Predicted probabilities that are systematically off for specific racial or gender groups produce biased clinical decisions, and aggregate statistics will not catch that. <h4>Objective</h4> To introduce the Demographic Calibration Gap Score (DCGS), a metric that m...

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Literature Corpus work
9f11194e-c5cb-53de-9fa0-6ff300da1738
DOI
10.64898/2026.06.17.26355900
Open publication

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Demographic Calibration Gaps in Breast Cancer Risk Prediction: Introducing the Demographic Calibration Gap ScoreDOI 10.64898/2026.06.17.26355900
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