A framework for assessing algorithmic discrimination risks in training data: a case of pediatric type 1 diabetes
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Objectives: To develop a generalizable framework for identifying algorithmic discrimination risks arising from subgroup imbalances in machine learning training data, with relevance to medical informatics applications where hetero... ...
