Düsing, C., Cimiano, P., Rehberg, S., Scherer, C., Kaup, O., Köster, C., Hellmich, S., Herrmann, D., Meier, K.-L., Claßen, S., & Borgstedt, R. (2024). Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy. Artificial Intelligence in Medicine, 102982. View
Tokgöz, P., Krayter, S., Hafner, J., & Dockweiler, C. (2024). Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation. BMC Medical Informatics and Decision Making, 24(1), 96.
Düsing, C., & Cimiano, P. (2024). Monitoring Concept Drift in Continuous Federated Learning Platforms. In International Symposium on Intelligent Data.
2023
Tokgöz, P., Hafner, J., & Dockweiler, C. (2023). Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review. BMC Medical Informatics and Decision Making, 23(1), 1-12. View
Düsing, C., & Cimiano, P. (2023). Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. In International Conference on Artificial Intelligence in Medicine (pp. 86-96). Cham: Springer Nature Switzerland.
Tokgöz, P., Hafner, J., & Dockweiler, C. (2023). Faktoren für die Implementierung von KI-basierten Entscheidungsunterstützungssystemen zur Antibiotikavorhersage im Krankenhaus–eine qualitative Analyse aus der Perspektive von ärztlichem Personal. Das Gesundheitswesen.
2022
Düsing, C., & Cimiano, P. (2022). On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. In Proceedings of 21st IEEE International Conference on Machine Learning and Applications.
Düsing, C., & Cimiano, P. (2022). Towards predicting client benefit and contribution in federated learning from data imbalance. In Proceedings of the 3rd International Workshop on Distributed Machine Learning (pp. 23-29). View