Lena Mulansky
M.Sc. Lena Mulansky
Am Schwarzenberg 15, A15.4.311
Telefon:
+49 931-201 46410
Fax:
+49 931-201 647310
E-Mail:
lena.mulansky@uni-wuerzburg.de
Kurzer Lebenslauf
seit 2020 | Wissenschaftliche Mitarbeiterin am Institut für Klinische Epidemiologie und Biometrie an der Universität Würzburg |
2018-2020 | Studium M.Sc. Wirtschaftswissenschaften an der Universität Ulm |
2010-2014 | Studium B.Sc. Volkswirtschaftslehre an der HfWU Nürtingen-Geislingen und an der California State University Fresno |
Wissenschaftliche Schwerpunkte
Machine Learning, Data Science
Publikationen
2024[ to top ]
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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.
2023[ to top ]
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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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How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. Artif Intell Med. 2023;143:102616..
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2022[ to top ]
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Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic. In: Proc. of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing. UbiComp/ISWC ’22 Adjunct; 2022..
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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 [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395.
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Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. In: Schlee W, Langguth B, Kleinjung T, Vanneste S, De Ridder D, editors. Progress in Brain Research [Internet]. Elsevier; 2021. pp. 441-5. Available from: https://www.sciencedirect.com/science/article/pii/S0079612320302351.
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Medical Device Regulation: Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health. J [Internet]. 2021;4(2):206-22. Available from: https://www.mdpi.com/2571-8800/4/2/17.
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Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. In: Searchfield GD, Zhang J, editors. The Behavioral Neuroscience of Tinnitus [Internet]. Cham: Springer International Publishing; 2021. pp. 175-89. Available from: https://doi.org/10.1007/7854_2021_229.
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