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Updated: Dec 17, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Addressing the Search Challenges of Precision Medicine with Information Retrieval Systems and Physician Readers
Kate Fultz Hollis1, Kirk Roberts2, Steven Bedrick1
1Oregon Health & Science University Department of Medical Informatics and Clinical Epidemiology, Portland, OR, USA.
Abstract:
The Text REtrieval Conference (TREC), co-sponsored by the National Institute of Standards and Technology (NIST) in the US and US Department of Defense, was started in 1992. TREC's purpose is to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. In 2017, the TREC Precision Medicine (Roberts et al., 2017) track grew from the Clinical Decision Support track and focused on a narrower problem domain of precision oncology. After three years of computer runs being evaluated for relevance by physician readers, we provide a unique perspective of how to evaluate computer-generated articles and clinical trials pulled from PubMed and Clinicaltrials.gov to find relevant information on medical cases.
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