University of Münster
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Julia Böhnke

Current affiliations

  • Institute of Epidemiology and Social Medicine

Publications

A rule-based clinical decision support system for detection of acute kidney injury after pediatric cardiac surgery.
Wachenbrunner J; Mast M; Böhnke J; Rübsamen N; Bode L; Karch A; Rathert H; Horke A; Beerbaum P; Marschollek M; Jack T; Böhne M (2025)
In: Computers in Biology and Medicine, 193, 110382-110382. doi:10.1016/j.compbiomed.2025.110382
Research article (journal) | Peer reviewed | Published
Diagnostic test accuracy in longitudinal study settings: Theoretical approaches with use cases from clinical practice.
Böhnke J; Zapf A; Kramer K; Weber P; ELISE Study Group; Karch A; Rübsamen N (2024)
In: Journal of Clinical Epidemiology, 169, 111314-111314. doi:10.1016/j.jclinepi.2024.111314
Research article (journal) | Peer reviewed | Published
Algorithmic fairness in healthcare data with weighted loss and adversarial learning
Das PP, Mast M, Wiese L, Jack T, Wulff A, ELISE Study Group (2024)
In: Arai K (eds.), Intelligent Systems and Applications. Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3, 264-283. Cham: Springer. doi:10.1007/978-3-031-47715-7_18
Research article in edited proceedings (conference) | Peer reviewed | Published
Data extraction for associative classification using mined rules in pediatric intensive care data
Das, P. P.; Mast, M.; Wiese, L.; Jack, T.; Wulf, A.; ELISE Study Group (2023)
In: Gesellschaft für Informatik e.V. (eds.), BTW 2023 - Complete proceedings, 981-994. Bonn: Gesellschaft für Informatik. doi:10.18420/BTW2023-67
Research article in edited proceedings (conference) | Peer reviewed | Published
Explainability based on feature importance for better comprehension of machine learning in healthcare
Das PP, Wiese L, ELISE Study Group (2023)
In: Abelló A, Vassiliadis P, Romero O, Wrembel R, Bugiotti F, Gamper J, Vargas Solar G, Zumpano E (eds.), New Trends in Database and Information Systems, 324-335. Cham: Springer. doi:10.1007/978-3-031-42941-5_28
Research article in edited proceedings (conference) | Peer reviewed | Published
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Projects

Ein Lernendes und Interoperables, Smartes Expertensystem für die pädiatrische Intensivmedizin (ELISE)
Duration: 01/10/2020 - 30/09/2023
Funded by: Bundesministerium für Gesundheit
Type of project: Participation in federally funded joint project

Doctorates

Diagnosestudien zur Evaluation von Clinical Decision-Support Systems (CDSS)
Candidate: Böhnke, Julia (Institut für Epidemiologie und Sozialmedizin) | Supervisors: Karch, André (Institut für Epidemiologie und Sozialmedizin), Varghese, Julian (Institut für Medizinische Informatik), Minnerup, Heike (Institut für Epidemiologie und Sozialmedizin)
Period of time: 04/11/2020 - 30/11/2023
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster