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

doi:10.3233/978-1-61499-971-3-234

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

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Neurotechnologie (7090)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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
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	https://doi.org/10.3233/978-1-61499-971-3-234
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
Band	260
ISSN (Print)	0926-9630
ISSN (elektronisch)	1879-8365

Konferenz

Konferenz	dHealth 2019
Kurztitel	dHealth 2019
Land/Gebiet	Österreich
Ort	Wien
Zeitraum	28/05/19 → 29/05/19
Internetadresse	http://www.ehealth2017.at

ASJC Scopus subject areas

Biomedizintechnik
Gesundheitsinformatik
Gesundheits-Informationsmanagement

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.3233/978-1-61499-971-3-234

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85066507946&partnerID=8YFLogxK

Dieses zitieren

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 (Hrsg.), dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference (S. 234-241). (Studies in Health Technology and Informatics; Band 260). IOS Press. https://doi.org/10.3233/978-1-61499-971-3-234

Predictive modelling and its visualization for telehealth data – Concept and implementation of an interactive viewer. / Sams, Michael; Eggerth, Alphons; Hayn, Dieter et al.
dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference. Hrsg. / Dieter Hayn; Alphons Eggerth; Gunter Schreier. IOS Press, 2019. S. 234-241 (Studies in Health Technology and Informatics; Band 260).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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 (Hrsg.), dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference. Studies in Health Technology and Informatics, Bd. 260, IOS Press, S. 234-241, dHealth 2019, Wien, Österreich, 28/05/19. https://doi.org/10.3233/978-1-61499-971-3-234

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

Sams, Michael ; Eggerth, Alphons ; Hayn, Dieter et al. / Predictive modelling and its visualization for telehealth data – Concept and implementation of an interactive viewer. dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference. Hrsg. / Dieter Hayn ; Alphons Eggerth ; Gunter Schreier. IOS Press, 2019. S. 234-241 (Studies in Health Technology and Informatics).

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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 {\textquoteleft}HerzMobil Tirol{\textquoteright} 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.",

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AU - Sams, Michael

AU - Eggerth, Alphons

AU - Hayn, Dieter

AU - Veeranki, Sai

AU - Schreier, Günter

PY - 2019/1/1

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N2 - 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.

AB - 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.

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ER -

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

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

UN SDGs

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

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