Mathias Kaspar

6PUBLICATIONS
13CO-AUTHORS
Reinforcement learningDeep learningMicroelectromechanical systems (MEMS)Epidemiological modellingQuery processing and optimisation
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Publications (6)

|Aug 14, 2026
Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.

|May 04, 2026
Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms.

|Mar 27, 2024
Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning.

Seyedmostafa Sheikhalishahi, Mathias Kaspar, Sarra Zaghdoudi

|Feb 08, 2024
Predicting Hypoxia Using Machine Learning: Systematic Review.

Lena Pigat, Benjamin P Geisler, Seyedmostafa Sheikhalishahi

|Nov 23, 2022
Querying a Clinical Data Warehouse for Combinations of Clinical and Imaging Data.

Mathias Kaspar, Leon Liman, Caroline Morbach

|Jan 06, 2022
Automated provision of clinical routine data for a complex clinical follow-up study: A data warehouse solution.

Mathias Kaspar, Georg Fette, Monika Hanke

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Frequent Collaborators

3 joint publications

Seyedmostafa Sheikhalishahi

2 joint publications

Benjamin P Geisler

2 joint publications

Ludwig Christian Hinske

2 joint publications

Johanna Schwinn