piwik-script

Intern
    Lehrstuhl für klinische Epidemiologie und Biometrie

    Meldung - Detailansicht

    Neue Publikationen

    30.08.2021

    Kammerer, K.; Göster, M.; Reichert, M.; Pryss, R. Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses. Future Internet 2021, 13, 203. https://doi.org/10.3390/fi13080203

    Eleni Genitsaridi, Albi Dode, Birkena Qirjazi, Muntazir Mehdi, Rüdiger Pryss, Thomas Probst, Manfred Reichert, Franz Hauck & Deborah Ann Hall (2021) An Albanian translation of a questionnaire for self-reported tinnitus assessment, International Journal of Audiology, DOI: 10.1080/14992027.2021.1933221

    Paganini S, Terhorst Y, Sander LB, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer LV, Lin J, Wurst R, Pryss R, Baumeister H, Messner E. Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis. JMIR Mhealth Uhealth 2021;9(6):e22587

    Winter, Michael and Bredemeyer, Cynthia and Reichert, Manfred and Neumann, Heiko and Probst, Thomas and Pryss, Rüdiger (2021) How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. In: 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS2021).

    N. Jamaludeen, V. Unnikrishnan, R. Pryss, J. Schobel, W. Schlee and M. Spiliopoulou, "Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App," 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 354-359, doi: 10.1109/CBMS52027.2021.00110.

    V. Unnikrishnan et al., "Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data," 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 295-300, doi: 10.1109/CBMS52027.2021.00080

    S. Shahania et al., "User-centric vs whole-stream learning for EMA prediction," 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021, pp. 307-312, doi: 10.1109/CBMS52027.2021.00033.

    Holfelder, M.; Mulansky, L.; Schlee, W.; Baumeister, H.; Schobel, J.; Greger, H.; Hoff, A.; Pryss, R. Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health. J 2021, 4, 206-222. https://doi.org/10.3390/j4020017

    Muzoora MR, El-Badawi N, Elsner C, Essenwanger A, Gocke P, Krefting D, Poyraz RA, Pryss R, Sax U, Thun S. Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps. Stud Health Technol Inform. 2021 May 27;281:1027-1028. doi: 10.3233/SHTI210339. PMID: 34042834.

    Dode A, Mehdi M, Pryss R, et al. Using a visual analog scale (VAS) to measure tinnitus-related distress and loudness: Investigating correlations using the Mini-TQ results of participants from the TrackYourTinnitus platform. Progress in Brain Research. 2021 ;263:171-190. DOI: 10.1016/bs.pbr.2020.08.008. PMID: 34243888.

    Weierstall R, Crombach A, Nandi C, Bambonyé M, Probst T and Pryss R (2021) Effective Adoption of Tablets for Psychodiagnostic Assessments in Rural Burundi: Evidence for the Usability and Validity of Mobile Technology in the Example of Differentiating Symptom Profiles in AMISOM Soldiers 1 Year After Deployment. Front. Public Health 9:490604. doi: 10.3389/fpubh.2021.490604

    Budimir S, Kuska M, Spiliopoulou M, Schlee W, Pryss R, Andersson G, Goedhart H, Harrison S, Vesala M, Hegde G, Langguth B, Pieh C, Probst T. Reasons for Discontinuing Active Participation on the Internet Forum Tinnitus Talk: Mixed Methods Citizen Science Study. JMIR Form Res 2021;5(4):e21444

    Wetzel, B.; Pryss, R.; Baumeister, H.; Edler, J.-S.; Gonçalves, A.S.O.; Cohrdes, C. “How Come You Don’t Call Me?” Smartphone Communication App Usage as an Indicator of Loneliness and Social Well-Being across the Adult Lifespan during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 6212. https://doi.org/10.3390/ijerph18126212

    Pryss R, Langguth B, Probst T, Schlee W, Spiliopoulou M and Reichert M (2021) Editorial: Smart Mobile Data Collection in the Context of Neuroscience. Front. Neurosci. 15:698597. doi: 10.3389/fnins.2021.698597

    Baumeister H, Bauereiss N, Zarski A-C, Braun L, Buntrock C, Hoherz C, Idrees AR, Kraft R, Meyer P, Nguyen TBD, Pryss R, Reichert M, Sextl T, Steinhoff M, Stenzel L, Steubl L, Terhorst Y, Titzler I and Ebert DD (2021) Clinical and Cost-Effectiveness of PSYCHOnlineTHERAPY: Study Protocol of a Multicenter Blended Outpatient Psychotherapy Cluster Randomized Controlled Trial for Patients With Depressive and Anxiety Disorders. Front. Psychiatry 12:660534. doi: 10.3389/fpsyt.2021.660534

    Schlee W. et al. (2021) Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. In: Searchfield G.D., Zhang J. (eds) The Behavioral Neuroscience of Tinnitus. Current Topics in Behavioral Neurosciences, vol 51. Springer, Cham. https://doi.org/10.1007/7854_2021_229

    Schlee, W., Schoisswohl, S., Staudinger, S., Schiller, A., Lehner, A., Langguth, B., Schecklmann, M., Simoes, J., Neff, P., Marcrum, S. C., Spiliopoulou, M., Niemann, U., Schleicher, M., Unnikrishnan, V., Puga, C., Mulansky, L., Pryss, R., Vogel, C., Allgaier, J., ... Kikidis, D. (2021). Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. In W. Schlee, B. Langguth, T. Kleinjung, S. Vanneste, & D. De Ridder (Eds.), Tinnitus - An Interdisciplinary Approach Towards Individualized Treatment: From Heterogeneity to Personalized Medicine (pp. 441-451). (Progress in Brain Research; Vol. 260). Elsevier B.V.. https://doi.org/10.1016/bs.pbr.2020.12.005

    M. Winter, R. Pryss, T. Probst, J. Baß and M. Reichert, "Measuring the Cognitive Complexity in the Comprehension of Modular Process Models," in IEEE Transactions on Cognitive and Developmental Systems, doi: 10.1109/TCDS.2020.3032730.

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