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Studies in Health Technology and Informatics
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May 23, 2026
Federated Propensity Score Matching for Bias Correction in ICU
Seyedmostafa 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 Ventilation
Seyedmostafa 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 Units
Johanna 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 Databases
Johanna 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 Computing
Johanna 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 Learning
Matthaeus 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 Divergence
Johanna 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 Quality
Johanna 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 paradigms
Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Studies in Health Technology and Informatics
|
May 23, 2026
Federated Propensity Score Matching for Bias Correction in ICU
Seyedmostafa 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 Ventilation
Seyedmostafa 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 Units
Johanna 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 Databases
Johanna 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 Computing
Johanna 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 Learning
Matthaeus 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 Divergence
Johanna 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 Quality
Johanna 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 paradigms
Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart, et al.
Page
of 1