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Race Corrections in Clinical Models: Examining Family History and Cancer Risk

2023-04-03 health informatics Title + abstract only
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Despite ethical and historical arguments for removing race corrections from clinical algorithms, the consequences of removal remain unclear. An important and underdiscussed consideration in this debate is the fact that medical data quality frequently varies across race groups. For example, family history of cancer is an essential predictor in cancer risk prediction algorithms but is less reliably documented for Black patients and may therefore be less predictive of cancer outcomes. We assessed w...

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