Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study.
- DOI
- 10.1186/s12911-025-03322-y
- Published
- 2026 Jan 14
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-025-03322-y,
title = {Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study.},
author = {Veeranki SPK and Hayn D and Kramer D and Gampawar PG and Baumgartner M and Lorenzer LD and Schrempf M and Schreier G},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-025-03322-y},
url = {https://doi.org/10.1186/s12911-025-03322-y}
}RIS
TY - JOUR TI - Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study. AU - Veeranki SPK AU - Hayn D AU - Kramer D AU - Gampawar PG AU - Baumgartner M AU - Lorenzer LD AU - Schrempf M AU - Schreier G PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-025-03322-y UR - https://doi.org/10.1186/s12911-025-03322-y ER -
APA
SPK, V., D, H., D, K., PG, G., M, B., LD, L., M, S., & G, S. (2026). Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-025-03322-y
Source records
- pubmed · retrieved 2026-09-25T13:15:43.968Z