TY  - JOUR
A1  - Mandl, Thomas
A1  - Meyerspeer, Martin
A1  - Reichel, Martin
A1  - Kern, Helmut
A1  - Hofer, Christian
A1  - Mayr, Winfried
A1  - Moser, Ewald
T1  - Functional electrical stimulation of long-term denervated, degenerated human skeletal muscle: estimating activation using T2-parameter magnetic resonance imaging methods
JF  - Artif Organs
KW  - Electrical Stimulation
KW  - Muscle Stimulation
Y1  - 2019
IS  - 32(8)
SP  - 604
EP  - 608
ER  - 
TY  - JOUR
A1  - Lanmüller, Hermann
A1  - Ashley, Z.
A1  - Unger, E.
A1  - Sutherland, H.
A1  - Reichel, Martin
A1  - Russold, M.
A1  - Jarvis, J.
A1  - Mayr, Winfried
A1  - Salmons, S.
T1  - Implantable device for long-term electrical stimulation of denervated muscles in rabbits
JF  - Med Biol Eng Comput
KW  - Electrical Stimulation
KW  - Muscle Stimulation
KW  - Muscle Denervation
Y1  - 2019
VL  - 43
IS  - 4
SP  - 535
EP  - 540
ER  - 
TY  - JOUR
A1  - Pucher, Robert
A1  - Holweg, Gerd
A1  - Mandl, Thomas
A1  - Salzbrunn, Benedikt
T1  - Optimizing higher education for the professional student. The example of Computer Science education at the University of Applied Sciences Technikum Wien
JF  - Digital Universities. International Best Practices and Applications
KW  - Education
KW  - Computer Science
Y1  - 2018
ER  - 
TY  - JOUR
A1  - Schuh, Christina
A1  - Heher, Philipp
A1  - Weihs, Anna
A1  - Fuchs, Christiane
A1  - Gabriel, Christian
A1  - Wolbank, Susanne
A1  - Mittermayr, Rainer
A1  - Redl, Heinz
A1  - Rünzler, Dominik
A1  - Teuschl, Andreas
T1  - In vitro extracorporeal shock wave treatment enhances stemness and preserves multipotency of rat and human adipose-derived stem cells
JF  - Journal of Cytotherapy
KW  - Shockwave
Y1  - 
ER  - 
TY  - JOUR
A1  - Unterkofler, Karl
A1  - Teschl, Susanne
T1  - On the influence of inhaled volatile organic compounds (VOCs) on exhaled VOCs concentrations
JF  - Proceedings of the 10. Forschungsforum der Österreichischen Fachhochschulen
KW  - Organic Compounds
Y1  - 2018
ER  - 
TY  - JOUR
A1  - Kubinger, Wilfried
A1  - Sommer, Roland
T1  - Industrie 4.0 - Auswirkungen von Digitalisierung und Internet auf den Industriestandort
JF  - e&i Elektrotechnik und Informationstechnik
KW  - Industry 4.0
KW  - Digitalisation
KW  - Industry Location
Y1  - 2018
VL  - 133
IS  - 7
SP  - 330
EP  - 333
ER  - 
TY  - JOUR
A1  - Urbauer, Philipp
T1  - The Social Platform: Profiling FHIR to Support Community-Dwelling Older Adults
JF  - Journal of Medical Systems
KW  - Elderly People
KW  - eHealth
KW  - Residential Care
KW  - Integrated Care
KW  - FHIR
Y1  - 
VL  - 4
IS  - 43
ER  - 
TY  - JOUR
A1  - Munsch, Nicolas
A1  - Gruarin, Stefanie
A1  - Nateqi, Jama
A1  - Lutz, Thomas
A1  - Binder, Michael
A1  - Aberle, Judith H.
A1  - Martin, Alistair
A1  - Knapp, Bernhard
T1  - Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna
JF  - Wiener Klinische Wochenschrift / The Central European Journal of Medicine
N2  - Background: Most clinical studies report the symptoms experienced by those infected with coronavirus disease 2019 (COVID-19) via patients already hospitalized. Here we analyzed the symptoms experienced outside of a hospital setting.

Methods: The Vienna Social Fund (FSW; Vienna, Austria), the Public Health Services of the City of Vienna (MA15) and the private company Symptoma collaborated to implement Vienna's official online COVID-19 symptom checker. Users answered 12 yes/no questions about symptoms to assess their risk for COVID-19. They could also specify their age and sex, and whether they had contact with someone who tested positive for COVID-19. Depending on the assessed risk of COVID-19 positivity, a SARS-CoV‑2 nucleic acid amplification test (NAAT) was performed. In this publication, we analyzed which factors (symptoms, sex or age) are associated with COVID-19 positivity. We also trained a classifier to correctly predict COVID-19 positivity from the collected data.

Results: Between 2 November 2020 and 18 November 2021, 9133 people experiencing COVID-19-like symptoms were assessed as high risk by the chatbot and were subsequently tested by a NAAT. Symptoms significantly associated with a positive COVID-19 test were malaise, fatigue, headache, cough, fever, dysgeusia and hyposmia. Our classifier could successfully predict COVID-19 positivity with an area under the curve (AUC) of 0.74.

Conclusion: This study provides reliable COVID-19 symptom statistics based on the general population verified by NAATs.

Keywords: Chatbot; Machine learning; Self-reported; Symptom assessment; Symptom checker.
KW  - COVID-19
KW  - Chatbot
KW  - Machine learning
KW  - Self-reported
KW  - Symptom assessment
Y1  - 
VL  - 2022
IS  - 134 (9-10)
SP  - 344
EP  - 350
PB  - Springer
ER  - 
TY  - JOUR
A1  - Pucher, Robert
A1  - Tesar, Michael
A1  - Mandl, Thomas
A1  - Holweg, Gerd
A1  - Schmöllebeck, Fritz
T1  - Improving Didactics in Computer Science - The Example of the GEMIS and the QUADRO Projects
JF  - International Journal of Education and Information Technologies
KW  - Didactics
KW  - Computer Science
KW  - Education
Y1  - 2019
VL  - 1
IS  - 5
ER  - 
TY  - JOUR
A1  - Pucher, Robert
A1  - Lehner, Martin
T1  - Project Based Learning in Computer Science
JF  - Procedia - Social and Behavioral Sciences, Volume 29, 2011, Pages 1561-1566, ISSN 1877-0428,
KW  - Project Based Learning
KW  - Computer Science
Y1  - 2019
ER  -