The Stakes of Uncertainty: Developing and Integrating Machine Learning in Clinical Care-Reference-Cited by-同舟云学术

The Stakes of Uncertainty: Developing and Integrating Machine Learning in Clinical Care

Published:2018-10 Issue:1 Volume:2018 Page:364-380
ISSN:1559-890X
Container-title:Ethnographic Praxis in Industry Conference Proceedings
language:en
Short-container-title:Ethnographic Praxis in Industry Conference Proceedings

Author:

ELISH MADELEINE CLARE¹

Affiliation:

1. Research Lead and co-founder of the AI on the Ground Initiative at Data & Society Research Institute, an independent non-profit research institute focused on the social implications of data-centric technological development.

Publisher

Wiley

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1559-8918.2018.01213/fullpdf

Reference52 articles.

1. Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail;Beane;Administrative Science Quarterly,2018

2. Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration;Bedoya;American Journal of Respitory and Critical Care Medicine,2018

3. The Social Power of Algorithms;Beer;Information, Communication & Society,,2017

4. How the Machine “Thinks:” Understanding Opacity in Machine Learning Algorithms;Burrel;Big Data & Society,2016

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