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A scoping review of fair machine learning techniques when using real-world data
35
Zitationen
8
Autoren
2024
Jahr
Abstract
This paper provides useful reference material and insights to researchers regarding AI/ML fairness in real-world health care data and reveals the gaps in the field. Fair AI/ML in health care is a burgeoning field that requires a heightened research focus to cover diverse applications and different types of RWD.
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