Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI's decision support system model.

[BibT_eX]

[DOI]

Konstantinos Bromis

Michail Sarafidis

Dimitrios D. Koutsouris

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Free Technical Solutions for Ecological Momentary Assessments - Searching GitHub plus Google.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Prediction of declining engagement to self-monitoring apps on the example of tinnitus mHealth data.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users.

[BibT_eX]

[DOI]

Entropy, 2021

Are Non-Experts Able to Comprehend Business Process Models - Study Insights Involving Novices and Experts.

[BibT_eX]

[DOI]

CoRR, 2021

Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.

[BibT_eX]

[DOI]

CoRR, 2021

Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health.

[BibT_eX]

[DOI]

CoRR, 2021

Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021

UNITI Mobile - EMI-Apps for a Large-Scale European Study on Tinnitus.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Why a Clinical Decision Support System is needed for Tinnitus?

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data.

[BibT_eX]

[DOI]

Vishnu Unnikrishnan

Yash Shah

Miro Schleicher

Carlos Fernández-Viadero

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.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Smartphone Apps in the Context of Tinnitus: Systematic Review.

[BibT_eX]

[DOI]

Sensors, 2020

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.

[BibT_eX]

[DOI]

Sensors, 2020

What data are smartphone users willing to share with researchers?

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2020

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2020

TinnituSense: a Mobile Electroencephalography (EEG) Smartphone App for Tinnitus Research.

[BibT_eX]

[DOI]

Proceedings of the MobiQuitous '20: Computing, 2020

Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus.

[BibT_eX]

[DOI]

Proceedings of the Wireless Mobile Communication and Healthcare, 2020

Comprehensive insights into the TrackYourTinnitus database.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.

[BibT_eX]

[DOI]

Sensors, 2019

Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

Applicability of Immersive Analytics in Mixed Reality: Usability Study.

[BibT_eX]

[DOI]

Oswald D. Kothgassner

Rüdiger Pryss

IEEE Access, 2019

Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Towards Automated Smart Mobile Crowdsensing for Tinnitus Research.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

TYDR: track your daily routine. Android app for tracking smartphone sensor and usage data.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Computing - ICCC 2018, 2018

Context Data Categories and Privacy Model for Mobile Data Collection Apps.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, 2018

Towards Incentive Management Mechanisms in the Context of Crowdsensing Technologies based on TrackYourTinnitus Insights.

[BibT_eX]

[DOI]

Usability Study on Mobile Processes Enabling Remote Therapeutic Interventions.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Differences between Android and iOS Users of the TrackYourTinnitus Mobile Crowdsensing mHealth Platform.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments.

[BibT_eX]

[DOI]

Lakshmi Prasath Muniandi

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

A personalized sensor support tool for the training of mindful walking.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

The Repercussions of Business Process Modeling Notations on Mental Load and Mental Effort.

[BibT_eX]

[DOI]

Proceedings of the Business Process Management Workshops, 2018

2017

Mobile Crowdsensing Services for Tinnitus Assessment and Patient Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on AI & Mobile Services, 2017

Towards a Conceptual Framework Fostering Process Comprehension in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Studying the Potential of Multi-target Classification to Characterize Combinations of Classes with Skewed Distribution.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

An IT Platform Enabling Remote Therapeutic Interventions.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Towards Flexible Remote Therapeutic Interventions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Cognitive Insights into Business Process Model Comprehension: Preliminary Results for Experienced and Inexperienced Individuals.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Systems Engineering, 2017

Using Insights from Cognitive Neuroscience to Investigate the Effects of Event-Driven Process Chains on Process Model Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Business Process Management Workshops, 2017

2016

Using Mobile Serious Games in the Context of Chronic Disorders: A Mobile Game Concept for the Treatment of Tinnitus.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Using Wearables in the Context of Chronic Disorders: Results of a Pre-Study.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015

Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

Mobile Crowd Sensing in Clinical and Psychological Trials - A Case Study.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2012

It's only in your head: Expectancy of aversive auditory stimulation modulates stimulus-induced auditory cortical alpha desynchronization.

[BibT_eX]

[DOI]

Thomas Hartmann

Winfried Schlee

Nathan Weisz

NeuroImage, 2012

Winfried Schlee

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