Causality Extraction from Medical Text Using Large Language Models (LLMs)

Causality Extraction from Medical Text Using Large Language Models (LLMs)

This study explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from clinical practice guidelines (CPGs). The outcomes of causality extraction from clinical practice guidelines for gestational diabetes are pr...

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Bibliographic Details
Main Authors: Seethalakshmi Gopalakrishnan, Luciana Garbayo, Wlodek Zadrozny
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Information
Subjects:
causality extraction
large language models (LLMs)
GPT-4
LLAMA2
medical text
Online Access:https://www.mdpi.com/2078-2489/16/1/13
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