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This study explores the use of extractive text summarization methods to generate concise summaries of clinical trial descriptions, aiming to improve accessibility for physicians. A dataset of 101,016 clinical trials was created from clinicaltrials.gov, and various algorithms were evaluated, with TextRank achieving the best performance based on ROUGE metrics. The findings suggest that automated summarization can effectively condense trial information while maintaining content relevance.

Author

cristian.martins.ccm

Language

EN