Faculty of Computer Science
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Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI).
Brain informatics Mar, 2015 | Pubmed ID: 27747503
Does Tinnitus Depend on Time-of-Day? An Ecological Momentary Assessment Study with the "TrackYourTinnitus" Application.
Frontiers in aging neuroscience , 2017 | Pubmed ID: 28824415
Review of Smart Services for Tinnitus Self-Help, Diagnostics and Treatments.
Frontiers in neuroscience , 2018 | Pubmed ID: 30177869
Editorial: Towards an Understanding of Tinnitus Heterogeneity.
Frontiers in aging neuroscience , 2019 | Pubmed ID: 30941029
Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.
Sensors (Basel, Switzerland) Sep, 2019 | Pubmed ID: 31510064
Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study.
JMIR mHealth and uHealth 10, 2019 | Pubmed ID: 31670692
Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables.
PloS one , 2020 | Pubmed ID: 31999776
Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics.
Scientific reports 03, 2020 | Pubmed ID: 32170136
Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment.
Scientific reports 04, 2020 | Pubmed ID: 32300111
Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy.
EBioMedicine Apr, 2020 | Pubmed ID: 32304997
Gender-Specific Differences in Patients With Chronic Tinnitus-Baseline Characteristics and Treatment Effects.
Frontiers in neuroscience , 2020 | Pubmed ID: 32523506
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform.
Sensors (Basel, Switzerland) Jun, 2020 | Pubmed ID: 32570953
Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison.
Scientific reports Oct, 2020 | Pubmed ID: 33009468
Burkhard Hoppenstedt1,
Thomas Probst2,
Manfred Reichert1,
Winfried Schlee3,
Klaus Kammerer1,
Myra Spiliopoulou4,
Johannes Schobel1,
Michael Winter1,
Anna Felnhofer5,
Oswald D. Kothgassner6,
Rüdiger Pryss7
1Institute of Databases and Information Systems, Ulm University,
2Department for Psychotherapy and Biopsychosocial Health, Danube University Krems,
3Department of Psychiatry and Psychotherapy, University of Regensburg,
4Faculty of Computer Science, Otto von Guericke University Magdeburg,
5Department of Pediatrics and Adolescent Medicine, Medical University of Vienna,
6Department of Child and Adolescent Psychiatry, Medical University of Vienna,
7Institute of Clinical Epidemiology and Biometry, University of Würzburg
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