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Matthaeus Morhart

Showing results (1-10 of 9) with videos related to

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Studies in Health Technology and Informatics|May 23, 2026
Federated Propensity Score Matching for Bias Correction in ICUSeyedmostafa Sheikhalishahi, Johanna Schwinn, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 17, 2025
Federated Learning for Predictive Analytics in Weaning from Mechanical VentilationSeyedmostafa Sheikhalishahi, Johanna Schwinn, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 17, 2025
A Federated Learning Model for the Prediction of Blood Transfusion in Intensive Care UnitsJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|August 23, 2024
A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care DatabasesJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|September 5, 2024
Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure ComputingJohanna Schwinn, Hendrik Ballhausen, Seyedmostafa Sheikhalishahi, et al.
Studies in Health Technology and Informatics|May 17, 2025
Enhancing Trust by a Keycloak-Flower Integration for Federated Machine LearningMatthaeus Morhart, Johanna Schwinn, Seyedmostafa Sheikhalishahi, et al.
Studies in Health Technology and Informatics|October 3, 2025
Comparative Federated Analytics of Blood Transfused Patients in Five ICU Databases: Using Kullback-Leibler DivergenceJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 23, 2026
What Is My Data Capable of? Using Performance Limits to Assess Data QualityJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Digital Health|May 4, 2026
Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigmsJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|May 23, 2026
Federated Propensity Score Matching for Bias Correction in ICUSeyedmostafa Sheikhalishahi, Johanna Schwinn, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 17, 2025
Federated Learning for Predictive Analytics in Weaning from Mechanical VentilationSeyedmostafa Sheikhalishahi, Johanna Schwinn, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 17, 2025
A Federated Learning Model for the Prediction of Blood Transfusion in Intensive Care UnitsJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|August 23, 2024
A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care DatabasesJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|September 5, 2024
Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure ComputingJohanna Schwinn, Hendrik Ballhausen, Seyedmostafa Sheikhalishahi, et al.
Studies in Health Technology and Informatics|May 17, 2025
Enhancing Trust by a Keycloak-Flower Integration for Federated Machine LearningMatthaeus Morhart, Johanna Schwinn, Seyedmostafa Sheikhalishahi, et al.
Studies in Health Technology and Informatics|October 3, 2025
Comparative Federated Analytics of Blood Transfused Patients in Five ICU Databases: Using Kullback-Leibler DivergenceJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Studies in Health Technology and Informatics|May 23, 2026
What Is My Data Capable of? Using Performance Limits to Assess Data QualityJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Digital Health|May 4, 2026
Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigmsJohanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Pageof 1