Equity in essence: a call for operationalising fairness in machine learning for healthcare

被引：44
|
作者：
Wawira Gichoya, Judy [1 ,2 ]
McCoy, Liam G. [3 ]
Celi, Leo Anthony [4 ,5 ,6 ]
Ghassemi, Marzyeh [7 ,8 ,9 ]
机构：
[1] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30322 USA
[2] NIH, Fogarty Int Ctr, Bldg 10, Bethesda, MD 20892 USA
[3] Univ Toronto, Temerty Fac Med, Toronto, ON, Canada
[4] Lab Computat Physiol, Harvard Mit Div Hlth Sci & Technol, Cambridge, MA USA
[5] Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Boston, MA 02215 USA
[6] Harvrd TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA
[7] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[8] Univ Toronto, Dept Med, Toronto, ON, Canada
[9] Vector Inst Artificial Intelligence, Toronto, ON, Canada
来源：
BMJ HEALTH & CARE INFORMATICS | 2021年 / 28卷 / 01期
关键词：
BMJ health informatics; ARTIFICIAL-INTELLIGENCE;
D O I：
10.1136/bmjhci-2020-100289
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
引用
收藏
页数：3
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