RMS: a ML-based system for ICU respiratory monitoring and resource planning.

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Bibliographic Details
Title: RMS: a ML-based system for ICU respiratory monitoring and resource planning.
Authors: Hüser M; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Lyu X; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.; Swiss Data Science Center, Zürich, Switzerland., Faltys M; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland.; Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia., Pace A; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.; AI Center, ETH Zürich, Zürich, Switzerland., Berger D; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland., Hoche M; Department of Computer Science, ETH Zürich, Zürich, Switzerland., Hyland SL; Microsoft Research, Cambridge, UK., Yèche H; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Burger M; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Merz TM; Cardiovascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand. tobiasm@adhb.govt.nz., Rätsch G; Department of Computer Science, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Swiss Institute for Bioinformatics, Lausanne, Switzerland. gunnar.raetsch@inf.ethz.ch.; AI Center, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Department of Biology, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.
Source: NPJ digital medicine [NPJ Digit Med] 2025 Dec 19; Vol. 8 (1), pp. 775. Date of Electronic Publication: 2025 Dec 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-025-02081-4