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

Authors

Martin Baumgartner (ORCID: https://orcid.org/0000-0001-9539-7204)
Diether Kramer
Michael Schrempf
Piyush Gajananrao Gampawar
Sai Pavan Kumar Veeranki
Günter Schreier
Dieter Hayn
Lena Delia Lorenzer

Institutions

AIT Austrian Institute of Technology GmbH (AT)
University of Graz (AT)
Medical University of Graz (AT)
Graz University of Technology (AT)
Austrian Institute for Health Technology Assessment GmbH (AT)
Private Pädagogische Hochschule Augustinum (AT)
Wiener Krankenanstaltenverbund (AT)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2026-01-14
DOI: https://doi.org/10.1186/s12911-025-03322-y
Primary Topic: Machine Learning in Healthcare
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Martin Baumgartner, Diether Kramer, Michael Schrempf, Piyush Gajananrao Gampawar et al.

Jan 14, 2026

BMC Medical Informatics and Decision Making

Machine Learning in Healthcare

article

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

Martin Baumgartner, Diether Kramer, Michael Schrempf, Piyush Gajananrao Gampawar, Sai Pavan Kumar Veeranki, Günter Schreier, Dieter Hayn, Lena Delia Lorenzer

January 14, 2026article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 26(1)

AIT Austrian Institute of Technology GmbH (AT), University of Graz (AT), Medical University of Graz (AT), Graz University of Technology (AT), Austrian Institute for Health Technology Assessment GmbH (AT), Private Pädagogische Hochschule Augustinum (AT), Wiener Krankenanstaltenverbund (AT)

Openalex Percentile: Top 89%

Machine Learning in Healthcare

DOI Open Access PDF OpenAlex

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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 — Martin Baumgartner, Diether Kramer, et al. · BMC Medical Informatics and Decision Making (2026) | TGRS Research Map | TGRS