Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.
- DOI
- 10.2196/79713
- Published
- 2026 Aug 14
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2196/79713,
title = {Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.},
author = {Sheikhalishahi S and Kaspar M and Schwinn J and Morhart M and Simon P and Hinske LC},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/79713},
url = {https://doi.org/10.2196/79713}
}RIS
TY - JOUR TI - Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis. AU - Sheikhalishahi S AU - Kaspar M AU - Schwinn J AU - Morhart M AU - Simon P AU - Hinske LC PY - 2026 JO - JMIR medical informatics DO - 10.2196/79713 UR - https://doi.org/10.2196/79713 ER -
APA
S, S., M, K., J, S., M, M., P, S., & LC, H. (2026). Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.. JMIR medical informatics. https://doi.org/10.2196/79713
Source records
- pubmed · retrieved 2026-09-25T04:22:25.676Z