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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