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[Literature Review] Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide The paper introduces a framework that uses large language models (LLMs) to extract medication side effects from social media, specifically Reddit, and organizes them into a knowledge graph (KG)
A total of 9816 articles were initially included by searching the databases according to the predefined search criteria, including PubMed (1702), Embase (1904), and the Cochrane Library (4293), further removing duplicates (7517) and reading the full text and abstracts (348)
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