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FAIRS - A Framework for Evaluating the Inclusion of Sex in Clinical Algorithms.

作者信息

Goodman Katherine E, Blumenthal-Barby Jennifer, Redberg Rita F, Hoffmann Diane E

机构信息

From the University of Maryland School of Medicine, Baltimore (K.E.G.); the University of Maryland Carey School of Law, Baltimore (D.E.H.); the University of Maryland Institute for Health Computing, North Bethesda (K.E.G.); the Baylor College of Medicine, Houston (J.B.-B.); and the University of California San Francisco Health, San Francisco (R.F.R.).

出版信息

N Engl J Med. 2025 Jan 23;392(4):404-411. doi: 10.1056/NEJMms2411331. Epub 2025 Jan 8.

DOI:10.1056/NEJMms2411331
PMID:39778166
Abstract
摘要

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Are we ignoring sex differences in haematological malignancies? A call for improved reporting.我们是否忽视了血液系统恶性肿瘤中的性别差异?呼吁改进报告。
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Assessing Algorithm Fairness Requires Adjustment for Risk Distribution Differences: Re-Considering the Equal Opportunity Criterion.
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