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Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health care. Given their intended placement within healthcare decision making more broadly, ML tools require attention to adequately quantify the impact of bias...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7727331/ https://ncbi.nlm.nih.gov/pubmed/32585698 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa085 |
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