Diagnosing bias in data-driven algorithms for healthcare

被引：30
|
作者：
Wiens, Jenna [1 ]
Price, W. Nicholson [2 ]
Sjoding, Michael W. [3 ]
机构：
[1] Univ Michigan, Div Comp Sci & Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Law, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Internal Med, Ann Arbor, MI 48109 USA
来源：
NATURE MEDICINE | 2020年 / 26卷 / 01期
关键词：
D O I：
10.1038/s41591-019-0726-6
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
A recent analysis highlighting the potential for algorithms to perpetuate existing racial biases in healthcare underscores the importance of thinking carefully about the labels used during algorithm development.
引用
收藏
页码：25 / 26
页数：2
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