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.
|Titel||dHealth 2019 - From eHealth to dHealth|
|Redakteure/-innen||Dieter Hayn, Alphons Eggerth, Günter Schreier|
|Publikationsstatus||Veröffentlicht - 2019|
|Veranstaltung||dHealth 2019 - 13th annual conference on health informatics meets digital health - |
Dauer: 28 Mai 2019 → 29 Mai 2019
|Konferenz||dHealth 2019 - 13th annual conference on health informatics meets digital health|
|Zeitraum||28/05/19 → 29/05/19|
- Exploration of Digital Health
- predictive analytics
- visual analytics
- human-in-the-loop 1.