Ethical Machine Learning in Healthcare.

Ethical Machine Learning in Healthcare.
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DOI:
10.1146/annurev-biodatasci-092820-114757
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发表时间:
2021-07
期刊:
Annual review of biomedical data science
影响因子:
--
通讯作者:
Ghassemi M
Ghassemi M
中科院分区:
其他
文献类型:
--
作者:
Chen IY;Pierson E;Rose S;Joshi S;Ferryman K;Ghassemi M

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机器学习(ML)在医疗保健中的使用引发了许多伦理问题,特别是因为模型可以放大现有的健康不平等。在这里,我们概述了在医疗保健发展中公平ML的伦理考虑。具体而言,我们通过社会正义的透镜来构建医疗保健中ML的伦理。我们描述了正在进行的努力,并概述了拟议的健康伦理ML管道中的挑战,从问题选择到部署后的考虑。最后,我们总结了应对这些挑战的建议。
The use of machine learning (ML) in healthcare raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of healthcare. Specifically, we frame ethics of ML in healthcare through the lens of social justice. We describe ongoing efforts and outline challenges in a proposed pipeline of ethical ML in health, ranging from problem selection to postdeployment considerations. We close by summarizing recommendations to address these challenges.
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