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Clinical, Consumer Health, and Visual Question Answering

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Information Management and Big Data (SIMBig 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 898))

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Abstract

This work presents an overview of three research directions that support clinical and health-related decisions: clinical question answering using both the Electronic Health Record data and the literature; consumer health question answering; and an emerging area of biomedical visual question answering (VQA).

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Author information

Authors and Affiliations

  1. National Library of Medicine, Bethesda, MD, USA

    Dina Demner-Fushman

Authors
  1. Dina Demner-Fushman
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Corresponding author

Correspondence to Dina Demner-Fushman .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Juan Antonio Lossio-Ventura

  2. Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  3. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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Demner-Fushman, D. (2019). Clinical, Consumer Health, and Visual Question Answering. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-11680-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11679-8

  • Online ISBN: 978-3-030-11680-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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