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Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges
OBJECTIVES: Machine learning (ML) has the potential to facilitate “continual learning” in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this article, we provide a tutorial on the range of ethical...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846684/ https://www.ncbi.nlm.nih.gov/pubmed/36377970 http://dx.doi.org/10.1093/jamia/ocac218 |