Papers by James C. Douglas

1 papers
Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities (2025.acl-long)

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Challenge: Clinical coding is labor-intensive and prone to delays, leading to global backlogs.
Approach: They propose an approach that combines Named Entity Recognition (NER) and Assertion Classification (AC) to filter for clinically important content before supervised code prediction.
Outcome: The proposed approach reduces training time by over half on a standard evaluation dataset compared to current methods . it uses Named Entity Recognition (NER) and Assertion Classification (AC) to filter for clinically important content before supervised code prediction.

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