Hidden Data Challenges in Clinical Machine Learning
Widely reused preprocessing pipelines for electronic health records can encode assumptions about when information became available, what clinical episode a label represents, and what missingness means. These assumptions are rarely audited systematically and may propagate across subsequent studies when preprocessing pip...
Carolin Cissée, Dennis Fast, Raneen Younis et al.
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