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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-32365190
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Almacenamiento y Recuperación de la Información / Infecciones por Coronavirus / Pandemias / Betacoronavirus Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Almacenamiento y Recuperación de la Información / Infecciones por Coronavirus / Pandemias / Betacoronavirus Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos