Michael Stach

Kurzer Lebenslauf
seit 2023 | Wissenschaftlicher Mitarbeiter am Institut für Klinische Epidemiologie und Biometrie, Universität Würzburg |
2017-2022 | Wissenschaftlicher Mitarbeiter am Institut für Datenbanken und Informationssysteme, Universität Ulm |
2014-2016 | Studium M.Sc. Medieninformatik, Schwerpunkt Verteilte Systeme & Informationssysteme, Universität Ulm |
2010-2014 | Studium B.Sc. Medieninformatik, Universität Ulm |
Wissenschaftliche Schwerpunkte
Digital Health, Daily Life Research, Mobile Computing, Information Systems
Projekte
Ausgewählte Publikationen der letzten Jahre
2023[ to top ]
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Predicting the presence of tinnitus using ecological momentary assessments. Scientific Reports [Internet]. 2023;13(1):8989. Available from: https://doi.org/10.1038/s41598-023-36172-7.
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Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp..
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2022[ to top ]
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Free Technical Solutions for Ecological Momentary Assessments - Searching GitHub plus Google. In: 2022 International Conference on Computational Science and Computational Intelligence (CSCI). 2022. pp. 1778-81..
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LAMP: a monitoring framework for mHealth application research. Procedia Computer Science [Internet]. 2022;198:203-10. Available from: https://www.sciencedirect.com/science/article/pii/S1877050921024686.
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2021[ to top ]
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Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021;18(14):7395..
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2020[ to top ]
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Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science [Internet]. 2020;175:261-8. Available from: https://www.sciencedirect.com/science/article/pii/S187705092031718X.
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Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). 2020. pp. 427-32..
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Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment. JMIR Mhealth Uhealth [Internet]. 2020;8(8):e21767. Available from: http://mhealth.jmir.org/2020/8/e21767/https://doi.org/10.2196/21767http://www.ncbi.nlm.nih.gov/pubmed/32808939.
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Comprehensive insights into the TrackYourTinnitus database. Procedia Computer Science [Internet]. 2020;175:28-35. Available from: https://www.sciencedirect.com/science/article/pii/S1877050920316872.
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Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain. Frontiers in Neuroscience [Internet]. 2020;14. Available from: https://www.frontiersin.org/articles/10.3389/fnins.2020.00164.
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