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.

Forschungsartikel (Zeitschrift)

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 (Hrsg.), Intelligent Systems and Applications. Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3. Cham: .

Forschungsartikel in Sammelband (Konferenz)

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 (Hrsg.), New Trends in Database and Information Systems. Cham: .

Forschungsartikel in Sammelband (Konferenz)

Tracing the progression of sepsis in critically ill children: clinical decision support for detection of hematologic dysfunction

In: .

Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study

In: .

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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. Forschungsartikel (Zeitschrift)
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. Forschungsartikel (Zeitschrift)
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 (Hrsg.), Intelligent Systems and Applications. Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 3. Cham: . Forschungsartikel in Sammelband (Konferenz)
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. (Hrsg.), BTW 2023 - Complete proceedings. Bonn: . Forschungsartikel in Sammelband (Konferenz)
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 (Hrsg.), New Trends in Database and Information Systems. Cham: . Forschungsartikel in Sammelband (Konferenz)
Towards an evolutionary open pediatric intensive care dataset in the ELISE project Wulff, Antje; Mast, Marcel; Bode, Louisa ; Rathert, Henning; Jack, Thomas ; ELISE Study Group (2022) In: Studies in Health Technology and Informatics, 295. Forschungsartikel (Zeitschrift)
Tracing the progression of sepsis in critically ill children: clinical decision support for detection of hematologic dysfunction In: .
Systematic review identifies deficiencies in reporting of diagnostic test accuracy among clinical decision support systems. In: .
Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study In: .