<tt>TrialSieve</tt>: A Comprehensive Biomedical Information Extraction Framework for PICO, Meta-Analysis, and Drug Repurposing

<tt>TrialSieve</tt>: A Comprehensive Biomedical Information Extraction Framework for PICO, Meta-Analysis, and Drug Repurposing

This work introduces TrialSieve, a novel framework for biomedical information extraction that enhances clinical meta-analysis and drug repurposing. By extending traditional PICO (Patient, Intervention, Comparison, Outcome) methodologies, TrialSieve incorporates hierarchical, treatment group-based gr...

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Bibliographic Details
Main Authors: David Kartchner, Haydn Turner, Christophe Ye, Irfan Al-Hussaini, Batuhan Nursal, Albert J. B. Lee, Jennifer Deng, Courtney Curtis, Hannah Cho, Eva L. Duvaris, Coral Jackson, Catherine E. Shanks, Sarah Y. Tan, Selvi Ramalingam, Cassie S. Mitchell
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
text mining
biomedical information extraction
biomedical literature annotation
biocuration
biomedical literature schema
named entity recognition
Online Access:https://www.mdpi.com/2306-5354/12/5/486
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