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TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19.
Roberts, Kirk; Alam, Tasmeer; Bedrick, Steven; Demner-Fushman, Dina; Lo, Kyle; Soboroff, Ian; Voorhees, Ellen; Wang, Lucy Lu; Hersh, William R.
  • Roberts K; University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Alam T; National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
  • Bedrick S; Oregon Health & Science University, Portland, Oregon, USA.
  • Demner-Fushman D; US National Library of Medicine, Bethesda, Maryland, USA.
  • Lo K; Allen Institute for AI, Seattle, Washington, USA.
  • Soboroff I; National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
  • Voorhees E; National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
  • Wang LL; Allen Institute for AI, Seattle, Washington, USA.
  • Hersh WR; Oregon Health & Science University, Portland, Oregon, USA.
J Am Med Inform Assoc ; 27(9): 1431-1436, 2020 07 01.
Article in English | MEDLINE | ID: covidwho-165244
ABSTRACT
TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal assumptions, which can be seen by examining 9 important basic IR research questions related to pandemic situations. TREC-COVID differs from traditional IR shared task evaluations with special considerations for the expected users, IR modality considerations, topic development, participant requirements, assessment process, relevance criteria, evaluation metrics, iteration process, projected timeline, and the implications of data use as a post-task test collection. This article describes how all these were addressed for the particular requirements of developing IR systems under a pandemic situation. Finally, initial participation numbers are also provided, which demonstrate the tremendous interest the IR community has in this effort.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Information Storage and Retrieval / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Information Storage and Retrieval / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia