Publications

Footer

Operated by

University of Münster
Division 6.4: Research Information Management
Department 6: Research Affairs
Domplatz 6-7 | 48143 Münster
cris@uni-muenster.de

Top-Links

About the University of Münster
Research profile of the University of Münster
CRIS-Login

living.knowledge

Legal Disclosure | Privacy Statement | Accessibility

Böhnke, Julia

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: . 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: . 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: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Towards an evolutionary open pediatric intensive care dataset in the ELISE project In: , -. \| Peer reviewed
Tracing the progression of sepsis in critically ill children: clinical decision support for detection of hematologic dysfunction In: , -. \| Peer reviewed
Systematic review identifies deficiencies in reporting of diagnostic test accuracy among clinical decision support systems. In: . \| Peer reviewed
Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study In: , -. \| Peer reviewed

Wulff, Antje; Mast, Marcel; Bode, Louisa ; Rathert, Henning; Jack, Thomas ; ELISE Study Group

(2022)

Studies in Health Technology and Informatics

, 295

100

103

doi:10.3233/SHTI220670

Research article (journal)

| Published

Bode, L; Schamer, S; Böhnke, J; ELISE Study Group; Bott, OJ; Jack, T; Wulff, A

(2022)

Applied Clinical Informatics

, 13

(05)

1002

1014

doi:10.1055/a-1950-9637

Research article (journal)

| Published

Böhnke J, Varghese J, ELISE Study Group, Karch A, Rübsamen N

(2022)

Journal of Clinical Epidemiology

, 151

doi:10.1016/j.jclinepi.2022.08.003

Review article (journal)

| Published

Böhnke J*, Rübsamen N*, Mast M, Rathert H, ELISE Study Group, Karch A, Jack T, Wulff A

(2022)

BMJ Paediatrics Open

, 6

(1)

e001618

doi:10.1136/bmjpo-2022-001618

Research article (journal)

| Published

Springer

doi:10.1007/978-3-031-47715-7_18

Gesellschaft für Informatik

doi:10.18420/BTW2023-67

Springer

doi:10.1007/978-3-031-42941-5_28

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: . 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: . 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: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Towards an evolutionary open pediatric intensive care dataset in the ELISE project In: , -. \| Peer reviewed
Tracing the progression of sepsis in critically ill children: clinical decision support for detection of hematologic dysfunction In: , -. \| Peer reviewed
Systematic review identifies deficiencies in reporting of diagnostic test accuracy among clinical decision support systems. In: . \| Peer reviewed
Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study In: , -. \| Peer reviewed