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Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study.
Moran, Addy; Hampton, Shawn; Dowson, Scott; Dagdelen, John; Trewartha, Amalie; Ceder, Gerbrand; Persson, Kristin; Saxon, Elise; Barker, Andrew; Charles, Lauren; Webb-Robertson, Bobbie-Jo.
Afiliação
  • Moran A; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Hampton S; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Dowson S; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Dagdelen J; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Trewartha A; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Ceder G; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Persson K; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Saxon E; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Barker A; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Charles L; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Webb-Robertson BJ; Pacific Northwest National Laboratory, Richland, WA, United States.
J Med Internet Res ; 23(7): e26995, 2021 07 16.
Article em En | MEDLINE | ID: mdl-34138726
BACKGROUND: Papers on COVID-19 are being published at a high rate and concern many different topics. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashion. OBJECTIVE: We present a new online software resource with a friendly user interface that allows users to query and interact with visual representations of relationships between publications. METHODS: We publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to interact with literature supplied by COVIDScholar via a visual analytics platform. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing and dozens of customizable visualizations that dynamically update from a researcher's query. RESULTS: PLATIPUS is available online and currently links to over 100,000 publications and is still growing. This application has the potential to transform how COVID-19 researchers use public literature to enable their research. CONCLUSIONS: The PLATIPUS application provides the end user with a variety of ways to search, filter, and visualize over 100,00 COVID-19 publications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Armazenamento e Recuperação da Informação / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Armazenamento e Recuperação da Informação / SARS-CoV-2 / COVID-19 Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos