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As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
46
Zitationen
3
Autoren
2020
Jahr
Abstract
We propose different dimensions and related metrics to assess the quality of the datasets used to build predictive models and Medical Artificial Intelligence (MAI). We argue that the proposed metrics are feasible for application in real-world settings for the continuous development of trustable and interpretable MAI systems.
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