Papers by Howard Lee

1 papers
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information (2024.findings-eacl)

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Challenge: Eligibility criteria (EC) are defined as a set of conditions an individual must meet to participate in a clinical trial.
Approach: They propose to recommend EC based on clinical trial information, including trial titles, and introduce an automatic evaluation framework to assess clinical validity of the EC recommendation model.
Outcome: The proposed model outperforms existing language models pre-trained on the biomedical domain in EC clustering.

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