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Bias and ethical considerations in machine learning and the automation of perioperative risk assessment

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Year: 2020
Type: article
Source: British Journal of Anaesthesia
DOI: 10.1016/j.bja.2020.07.040
Authors: Vikas N. O'Reilly-Shah, Katherine R. Gentry, Andrew M. Walters, Joel Zivot, Corrie T. Anderson, Patrick J. Tighe
Institutions: Seattle Children's Hospital, University of Washington, Emory University, University of Florida Health, University of Florida
Language: English

Topic: Ethics and Social Impacts of AI
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke
Awards: University of Florida Early Phase Pain Investigation Clinical Center, Finding Good TEMporal PostOperative pain Signatures (TEMPOS)
OpenAlex ID: W3081377657
FWCI: 10.21
Cites: 27
Cited by: 59
Related to: 10
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