Johannes Schobel
Orcid: 0000-0002-6874-9478Affiliations:
- Neu-Ulm University of Applied Sciences, Germany
- Ulm University, Germany (former)
According to our database1,
Johannes Schobel
authored at least 56 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Prediction meets time series with gaps: User clusters with specific usage behavior patterns.
Artif. Intell. Medicine, August, 2023
IEEE J. Biomed. Health Informatics, June, 2023
Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Concept and Requirements for an Educational Serious Game Teaching Pandemic Management.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.
Entropy, 2021
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.
CoRR, 2021
Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health.
CoRR, 2021
Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment.
IEEE Access, 2021
Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform.
Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021
Quantifying Heterogeneity in Tumors: Proposing a New Method Utilizing Convolutional Neuronal Networks.
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform.
Int. J. Data Sci. Anal., 2019
Enabling Sophisticated Lifecycle Support for Mobile Healthcare Data Collection Applications.
IEEE Access, 2019
IEEE Access, 2019
Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A model-driven framework for enabling flexible and robust mobile data collection applications.
PhD thesis, 2018
Requirements for a Flexible and Generic API Enabling Mobile Crowdsensing mHealth Applications.
Proceedings of the 4th International Workshop on Requirements Engineering for Self-Adaptive, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
2017
J. Ubiquitous Syst. Pervasive Networks, 2017
Process-Driven Mobile Data Collection.
EMISA Forum, 2017
Proceedings of the IEEE International Conference on AI & Mobile Services, 2017
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017
Towards Patterns for Defining and Changing Data Collection Instruments in Mobile Healthcare Scenarios.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2017
Development of Mobile Data Collection Applications by Domain Experts: Experimental Results from a Usability Study.
Proceedings of the Advanced Information Systems Engineering, 2017
Proceedings of the Advances in Intelligent Process-Aware Information Systems, 2017
Proceedings of the Advances in Intelligent Process-Aware Information Systems, 2017
2016
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016
End-User Programming of Mobile Services: Empowering Domain Experts to Implement Mobile Data Collection Applications.
Proceedings of the 2016 IEEE International Conference on Mobile Services, MS 2016, San Francisco, CA, USA, June 27, 2016
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016
Proceedings of the Service-Oriented Computing - ICSOC 2016 Workshops, 2016
Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Using Mobile Serious Games in the Context of Chronic Disorders: A Mobile Game Concept for the Treatment of Tinnitus.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
Using Smart Mobile Devices for Collecting Structured Data in Clinical Trials: Results from a Large-Scale Case Study.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2014
Proceedings of the Web Information Systems and Technologies, 2014
Towards Process-driven Mobile Data Collection Applications - Requirements, Challenges, Lessons Learned.
Proceedings of the WEBIST 2014, 2014
Proceedings of the Web Information Systems and Technologies, 2014
Location-based Mobile Augmented Reality Applications - Challenges, Examples, Lessons Learned.
Proceedings of the WEBIST 2014, 2014
2013
Using Vital Sensors in Mobile Healthcare Business Applications - Challenges, Examples, Lessons Learned.
Proceedings of the WEBIST 2013, 2013