Papers by April Russell

1 papers
MDACE: MIMIC Documents Annotated with Code Evidence (2023.acl-long)

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Challenge: Computer-Assisted Coding (CAC) systems are required to provide supporting textual evidence to justify billing codes.
Approach: They propose a dataset for evidence/rationale extraction on an extreme multi-label classification task over long medical documents.
Outcome: The proposed dataset can be used to evaluate evidence extraction methods for CAC systems, as well as the accuracy and interpretability of deep learning models for multi-label classification.

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