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2024 MLHC MLHC 2024

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C Wallace

Topics

Machine Learning > Core Methods > Representation Learning Natural Language Processing > Applications > Information Extraction Artificial Intelligence > Core AI > Large Language Models

Keywords

randomized controlled trial clinical trial report large language model complex outcome measures conditionally extracting numerical results
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