Academic machine learning researchers’ ethical perspectives on algorithm development for health care: a qualitative study
Author:
Affiliation:
1. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine , Stanford, CA 94305, United States
2. Department of Psychiatry, University of Arkansas for Medical Sciences , Little Rock, AK 72205, United States
Abstract
Funder
National Center for Advancing Translational Sciences
Publisher
Oxford University Press (OUP)
Subject
Health Informatics
Link
https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocad238/54142876/ocad238.pdf
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3. The stakes of uncertainty: developing and integrating machine learning in clinical care;Elish;Ethnographic Praxis,2018
4. Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study;Joshi;JAMIA Open,2022
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