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 (Speaker), Alphons Eggerth, Dieter Hayn, Sai Veeranki, Günter Schreier

Digital Health Information Systems

Graz University of Technology

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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 language	English
Title of host publication	dHealth 2019 - From eHealth to dHealth
Editors	Dieter Hayn, Alphons Eggerth, Günter Schreier
Pages	234-241
Number of pages	8
DOIs	https://doi.org/10.3233/978-1-61499-971-3-234
Publication status	Published - 2019
Event	dHealth 2019 - 13th annual conference on health informatics meets digital health - Duration: 28 May 2019 → 29 May 2019

Conference

Conference	dHealth 2019 - 13th annual conference on health informatics meets digital health
Period	28/05/19 → 29/05/19

Research Field

Exploration of Digital Health

Keywords

telemedicine
predictive analytics
visual analytics
human-in-the-loop 1.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/978-1-61499-971-3-234Licence: Unspecified

Cite this

@inproceedings{3a2df2564f0c4c61b74aec84f8abe782,

title = "Predictive Modelling and its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer",

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.",

keywords = "telemedicine, predictive analytics, visual analytics, human-in-the-loop 1., telemedicine, predictive analytics, visual analytics, human-in-the-loop 1.",

author = "Michael Sams and Alphons Eggerth and Dieter Hayn and Sai Veeranki and G{\"u}nter Schreier",

year = "2019",

doi = "10.3233/978-1-61499-971-3-234",

language = "English",

pages = "234--241",

editor = "Dieter Hayn and Alphons Eggerth and G{\"u}nter Schreier",

booktitle = "dHealth 2019 - From eHealth to dHealth",

note = "dHealth 2019 - 13th annual conference on health informatics meets digital health ; Conference date: 28-05-2019 Through 29-05-2019",

}

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. pp. 234-241, dHealth 2019 - 13th annual conference on health informatics meets digital health, 28/05/19. 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 (Speaker); Eggerth, Alphons; Hayn, Dieter et al.
dHealth 2019 - From eHealth to dHealth. ed. / Dieter Hayn; Alphons Eggerth; Günter Schreier. 2019. p. 234-241.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Predictive Modelling and its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer

AU - Eggerth, Alphons

AU - Hayn, Dieter

AU - Veeranki, Sai

AU - Schreier, Günter

A2 - Sams, Michael

A2 - Hayn, Dieter

A2 - Eggerth, Alphons

A2 - Schreier, Günter

PY - 2019

Y1 - 2019

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.

KW - telemedicine

KW - predictive analytics

KW - visual analytics

KW - human-in-the-loop 1.

KW - telemedicine

KW - predictive analytics

KW - visual analytics

KW - human-in-the-loop 1.

U2 - 10.3233/978-1-61499-971-3-234

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

M3 - Conference Proceedings with Oral Presentation

SP - 234

EP - 241

BT - dHealth 2019 - From eHealth to dHealth

T2 - dHealth 2019 - 13th annual conference on health informatics meets digital health

Y2 - 28 May 2019 through 29 May 2019

ER -

Predictive Modelling and its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer

Abstract

Conference

Research Field

Keywords

UN SDGs

Access to Document

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Cite this