Predictive modelling and its visualization for telehealth data – Concept and implementation of an interactive viewer

Michael Sams*, Alphons Eggerth, Dieter Hayn, Sai Veeranki, Günter Schreier

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Background: Predictive modelling is becoming increasingly important in the healthcare sector. A comprehensive understanding of obtained models and their predictions is indispensable for the development and later acceptance of such systems. Objectives: A general concept of a toolset that supports data scientists in the development of predictive models in the telehealth context had to be developed and subsequently implemented. Methods: Based on surveys the user requirements were determined. The concept development was based on the data model of the ‘HerzMobil Tirol’ telehealth program. The implementation was conducted in MATLAB. Results: A list of requirements was identified, based on which a viewer was implemented. Conclusion: The developed viewer concept and its implementation facilitate a deeper insight and a better understanding of the development process of predictive models in the telehealth context.

Original languageEnglish
Title of host publicationdHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference
EditorsDieter Hayn, Alphons Eggerth, Gunter Schreier
PublisherIOS Press
Pages234-241
Number of pages8
ISBN (Electronic)9781614999706
DOIs
Publication statusPublished - 1 Jan 2019
Event13th Annual Conference Health Informatics Meets Digital Health - Schönbrunn Palace, Wien, Austria
Duration: 28 May 201929 May 2019
http://www.ehealth2017.at

Publication series

NameStudies in Health Technology and Informatics
Volume260
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference13th Annual Conference Health Informatics Meets Digital Health
Abbreviated titledHealth 2019
CountryAustria
CityWien
Period28/05/1929/05/19
Internet address

Keywords

  • Human-in-the-loop
  • Predictive analytics
  • Telemedicine
  • Visual analytics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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    Sams, M., Eggerth, A., Hayn, D., Veeranki, S., & Schreier, G. (2019). Predictive modelling and its visualization for telehealth data – Concept and implementation of an interactive viewer. In D. Hayn, A. Eggerth, & G. Schreier (Eds.), dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference (pp. 234-241). (Studies in Health Technology and Informatics; Vol. 260). IOS Press. https://doi.org/10.3233/978-1-61499-971-3-234