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Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions

Crossref DOI link: https://doi.org/10.1007/s10729-026-09760-y

Published Online: 2026-06-10

Published Print: 2026-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bohlen, Lasse https://orcid.org/0000-0001-5541-1497
Rosenberger, Julian https://orcid.org/0000-0002-8987-3910
Hambauer, Nico https://orcid.org/0000-0001-7116-3729
Zähringer, Daniel https://orcid.org/0009-0004-9836-0668
Franz, Volkmar

Zschech, Patrick https://orcid.org/0000-0002-1105-8086
Kraus, Mathias https://orcid.org/0000-0002-2021-2743
Funding

Funding for this research was provided by:

Technische Universität Dresden
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Text and Data Mining valid from 2026-06-01

Version of Record valid from 2026-06-10
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Article History

Received: 8 October 2024

Accepted: 11 March 2026

First Online: 10 June 2026