Deutsch Intern
Institute for Clinical Epidemiology and Biometry

Michael Stach

M.Sc. Michael Stach

Am Schwarzenberg 15, Haus A15

Short Resume

since 2023

Research assistant at the Institute of Clinical Epidemiology and Biometry, University of Würzburg
2017-2022

Research assistant at the Institute of Databases and Information Systems, University of Ulm

2014-2016

M.Sc. Media Computer Science, University of Ulm, with focus on Distributed Systems & Information Systems

2010-2014

B.Sc. Media Computer Science, University of Ulm

 

Scientific Focus

Digital Health, Daily Life Research, Mobile Computing, Information Systems

Projects

Selected Publications

2024[ to top ]
  • 1.
    Stach M, Mulansky L, Reichert M, Pryss R, Beierle F. Call to Action: Investigating Interaction Delay in Smartphone Notifications. Sensors [Internet]. 2024;24(8):2612. Available from: https://www.mdpi.com/1424-8220/24/8/2612
  • 1.
    Morbach C, Moser N, Cejka V, Stach M, Sahiti F, Kerwagen F, et al. Determinants and reference values of the 6-min walk distance in the general population-results of the population-based STAAB cohort study. Clin Res Cardiol. 2024;.
2023[ to top ]
  • 1.
    Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, et al. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • 1.
    Breitmayer M, Stach M, Kraft R, Allgaier J, Reichert M, Schlee W, et al. 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
  • 1.
    Stach M, Schickler M, Reichert M, Pryss R. Tales From the Past: Adapting App Repositories to App Store Dynamics. In: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) [Internet]. 2023. pp. 1342-7. Available from: https://ieeexplore.ieee.org/document/10487517
2022[ to top ]
  • 1.
    Stach M, Pflüger F, Reichert M, Pryss R. 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
  • 1.
    Stach M, Reichert M, Prasser F, Baumeister H, Schlee W, Heuschmann P, et al. 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.
2021[ to top ]
  • 1.
    Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, et al. 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 [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395
2020[ to top ]
  • 1.
    Kraft R, Stach M, Reichert M, Schlee W, Probst T, Langguth B, et al. Comprehensive insights into the TrackYourTinnitus database. Procedia Computer Science [Internet]. 2020;175:28-35. Available from: https://www.sciencedirect.com/science/article/pii/S1877050920316872
  • 1.
    Mehdi M, Stach M, Riha C, Neff P, Dode A, Pryss R, et al. 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
  • 1.
    Stach M, Kraft R, Probst T, Messner EM, Terhorst Y, Baumeister H, et al. 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.
  • 1.
    Kraft R, Schlee W, Stach M, Reichert M, Langguth B, Baumeister H, et al. 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
  • 1.
    Stach M, Vogel C, Gablonski TC, Andreas S, Probst T, Reichert M, et al. 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