Research Output

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

  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 ongoing 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.

  • Date:

    02 September 2014

  • Publication Status:

    Published

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Royal Society of Edinburgh

Citation

Gkatzia, D., Rieser, V., Mcsporran, A., Mcgowan, A., Mort, A., & Dewar, M. (2014). Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences. In BCS Health Informatics Scotland (HIS)

Authors

Keywords

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

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