Papers with eligibility criteria

2 papers
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing (2020.lrec-1)

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Challenge: Clinical trials require that patients meet eligibility criteria to ensure safety and effectiveness of studies.
Approach: They propose a dataset that includes the first-of-its-kind eligibility-criteria corpus and queries for criteria-to-sql . they propose 'neuro semantic parser' which can translate eligibility criteria to executable SQL queries .
Outcome: The proposed parser outperforms existing state-of-the-art general-purpose models while highlighting the challenges presented by the new dataset.
AutoTrial: Prompting Language Models for Clinical Trial Design (2023.emnlp-main)

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Challenge: Generative large language models (LLMs) are a popular tool for creating coherent and human-like documents for clinical trials.
Approach: They propose to generate clinical eligibility criteria using language models by a hybrid of discrete and neural prompting and scalable knowledge incorporation via in-context learning.
Outcome: The proposed method generates high-quality criteria texts fluent and coherent with high accuracy against the GPT-3.5 baselines.

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