English Intern
Lehrstuhl für klinische Epidemiologie und Biometrie

Lena Mulansky


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 ]
  • 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
2023[ to top ]
  • 1.
    Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • 1.
    Allgaier J, Mulansky L, Draelos RL, Pryss R. 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.
2022[ to top ]
  • 1.
    Mulansky L, Pryss R, Cohrdes C, Baumeister H, Beierle F. 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.
2021[ to top ]
  • 1.
    Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler JS, Eichner FA, Greger H, Hein G, Heuschmann P, John D, Kestler HA, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. 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
  • 1.
    Schlee W, Schoisswohl S, Staudinger S, Schiller A, Lehner A, Langguth B, Schecklmann M, Simoes J, Neff P, Marcrum SC, Spiliopoulou M, Niemann U, Schleicher M, Unnikrishnan V, Puga C, Mulansky L, Pryss R, Vogel C, Allgaier J, Giannopoulou E, Birki K, Liakou K, Cima R, Vlaeyen JWS, Verhaert N, Ranson S, Mazurek B, Brueggemann P, Boecking B, Amarjargal N, Specht S, Stege A, Hummel M, Rose M, Oppel K, Dettling-Papargyris J, Lopez-Escamez JA, Amanat S, Gallego-Martinez A, Escalera-Balsera A, Espinosa-Sanchez JM, Garcia-Valdecasas J, Mata-Ferron M, Martin-Lagos J, Martinez-Martinez M, Martinez-Martinez MJ, Müller-Locatelli N, Perez-Carpena P, Alcazar-Beltran J, Hidalgo-Lopez L, Vellidou E, Sarafidis M, Katrakazas P, Kostaridou V, Koutsouris D, Manta R, Paraskevopoulos E, Haritou M, Elgoyhen AB, Goedhart H, Koller M, Shekhawat GS, Crump H, Hannemann R, Holfelder M, Oberholzer T, Vontas A, Trochidis I, Moumtzi V, Cederroth CR, Koloutsou K, Spanoudakis G, Basdekis I, Gallus S, Lugo A, Stival C, Borroni E, Markatos N, Bibas A, Kikidis D. 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
  • 1.
    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 [Internet]. 2021;4(2):206-22. Available from: https://www.mdpi.com/2571-8800/4/2/17
  • 1.
    Schlee W, Langguth B, Pryss R, Allgaier J, Mulansky L, Vogel C, Spiliopoulou M, Schleicher M, Unnikrishnan V, Puga C, Manta O, Sarafidis M, Kouris I, Vellidou E, Koutsouris D, Koloutsou K, Spanoudakis G, Cederroth C, Kikidis D. 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