Addressing the Search Challenges of Precision Medicine with Information Retrieval Systems and Physician Readers release_uboe2c5am5a65jppi6j7depism

by Kate Fultz Hollis, Kirk Roberts, Steven Bedrick, William R Hersh

Published in Studies in Health Technology and Informatics.

2020   Volume 270, p813-817

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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Type  article-journal
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Date   2020-06-16
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DOI  10.3233/shti200274
PubMed  32570495
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ISSN-L:  0926-9630
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