@inproceedings{7bc1735275c74a57a9c2abbcf5b8bf79,
title = "Addressing the search challenges of precision medicine with information retrieval systems and physician readers",
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.",
keywords = "Information retrieval, Precision medicine",
author = "Hollis, {Kate Fultz} and Kirk Roberts and Steven Bedrick and Hersh, {William R.}",
note = "Funding Information: KFH, KR, SB, and WTH and other organizers are grateful to the National Institute of Standards and Technology (NIST) for funding the assessment process for TREC. Publisher Copyright: {\textcopyright} 2020 European Federation for Medical Informatics (EFMI) and IOS Press.; 30th Medical Informatics Europe Conference, MIE 2020 ; Conference date: 28-04-2020 Through 01-05-2020",
year = "2020",
month = jun,
day = "16",
doi = "10.3233/SHTI200274",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "813--817",
editor = "Pape-Haugaard, {Louise B.} and Christian Lovis and Madsen, {Inge Cort} and Patrick Weber and Nielsen, {Per Hostrup} and Philip Scott",
booktitle = "Digital Personalized Health and Medicine - Proceedings of MIE 2020",
}