Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences

, , , , ,

BCS Health Informatics Scotland (HIS) (HIS)

BCS Health Informatics Scotland (HIS)

2 - 3 September 2014

User Preferences, Data-to-text, Decision Support Systems, Health data, Wearable tech

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe on-going work towards a medical decision support tool, which automatically generates textual summaries of underlying sensor data. In particular, we present results from a survey investigating the preferences of individual users and user groups when summarizing medical sensor data. We find that the users’ preferences are not necessarily dependent on the user’s training level, profession or gender. We therefore use cluster analysis to identify user groups with consistent preferences with regard to 4 different first aid scenarios and 3 types of physiological parameters. In future work, we will utilize these findings to automatically adapt the generated output to personal preferences.

      Related collections

      Most cited references 6

      • Record: found
      • Abstract: not found
      • Article: not found

      Why looking isn't always seeing: readership skills and graphical programming

       Marian Petre (1995)
        Bookmark
        • Record: found
        • Abstract: not found
        • Article: not found

        An architecture for data-to-text systems

         Ehud Reiter (2007)
          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          When a graph is poorer than 100 words: A comparison of computerised natural language generation, human generated descriptions and graphical displays in neonatal intensive care

            Bookmark

            Author and article information

            Affiliations
            Heriot-Watt University

            Edinburgh

            EH14 4AS
            BASP UK Ltd.

            Grencoe

            PH49 4HR
            University of Glasgow

            Glasgow

            G12 8QQ
            University of Aberdeen

            Inverness

            IV2 3JH
            Contributors
            Conference
            September 2014
            September 2014
            : 1-8
            10.14236/ewic/HIS2014.2
            © Dimitra Gkatzia et al. Published by BCS Learning and Development Ltd. BCS Health Informatics Scotland (HIS), Glasgow, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            BCS Health Informatics Scotland (HIS)
            HIS
            Glasgow, UK
            2 - 3 September 2014
            Electronic Workshops in Computing (eWiC)
            BCS Health Informatics Scotland (HIS)
            Product
            Product Information: 1477-9358 BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Comments

            Comment on this article