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

Gkatzia, Dimitra; Rieser, Verena; Mcsporran, Alexander; Mcgowan, Alistair; Mort, Alasdair; Dewar, Michaela

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 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.

Citation

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

• Presentation Conference Type: Conference Paper (published)
• Conference Name: BCS Health Informatics Scotland
• Start Date: Sep 2, 2014
• End Date: Sep 3, 2014
• Acceptance Date: Aug 12, 2014
• Publication Date: Sep 2, 2014
• Deposit Date: Dec 14, 2017
• Publicly Available Date: Dec 15, 2017
• Book Title: BCS Health Informatics Scotland (HIS)
• Keywords: User Preferences; Data-to-text; Decision Support Systems; Health data; Wearable tech
• Public URL: http://researchrepository.napier.ac.uk/Output/929985
• Contract Date: Dec 14, 2017