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.
Originalsprache | englisch |
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Titel | dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference |
Redakteure/-innen | Dieter Hayn, Alphons Eggerth, Gunter Schreier |
Herausgeber (Verlag) | IOS Press |
Seiten | 234-241 |
Seitenumfang | 8 |
ISBN (elektronisch) | 9781614999706 |
DOIs | |
Publikationsstatus | Veröffentlicht - 1 Jan. 2019 |
Veranstaltung | dHealth 2019 - Schönbrunn Palace, Wien, Österreich Dauer: 28 Mai 2019 → 29 Mai 2019 http://www.ehealth2017.at |
Publikationsreihe
Name | Studies in Health Technology and Informatics |
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Band | 260 |
ISSN (Print) | 0926-9630 |
ISSN (elektronisch) | 1879-8365 |
Konferenz
Konferenz | dHealth 2019 |
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Kurztitel | dHealth 2019 |
Land/Gebiet | Österreich |
Ort | Wien |
Zeitraum | 28/05/19 → 29/05/19 |
Internetadresse |
ASJC Scopus subject areas
- Biomedizintechnik
- Gesundheitsinformatik
- Gesundheits-Informationsmanagement