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An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit.

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Title: An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit.
Authors: Lyu X; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; NEXUS Personalized Health Technologies, ETH Zürich, Schlieren, 8952, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland., Fan B; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland., Hüser M; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland., Hartout P; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany., Gumbsch T; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland., Faltys M; Department of Intensive Care, Austin Hospital, Melbourne, Victoria, 3084, Australia.; Department of Intensive Care Medicine, University Hospital, University of Bern, Switzerland., Merz TM; Cardiovascular Intensive Care Unit, Auckland City Hospital, Auckland, 1023, New Zealand., Rätsch G; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Medical Informatics Unit, Zürich University Hospital, 8091, Switzerland.; AI Center at ETH Zürich, Zürich, 8092, Switzerland.; Department of Biology, ETH Zürich, Zürich, 8093, Switzerland., Borgwardt K; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2024 Jun 28; Vol. 40 (Suppl 1), pp. i247-i256.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit.
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  Data: <searchLink fieldCode="AU" term="%22Lyu+X%22">Lyu X</searchLink>; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; NEXUS Personalized Health Technologies, ETH Zürich, Schlieren, 8952, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.<br /><searchLink fieldCode="AU" term="%22Fan+B%22">Fan B</searchLink>; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hüser+M%22">Hüser M</searchLink>; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hartout+P%22">Hartout P</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.<br /><searchLink fieldCode="AU" term="%22Gumbsch+T%22">Gumbsch T</searchLink>; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.<br /><searchLink fieldCode="AU" term="%22Faltys+M%22">Faltys M</searchLink>; Department of Intensive Care, Austin Hospital, Melbourne, Victoria, 3084, Australia.; Department of Intensive Care Medicine, University Hospital, University of Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Merz+TM%22">Merz TM</searchLink>; Cardiovascular Intensive Care Unit, Auckland City Hospital, Auckland, 1023, New Zealand.<br /><searchLink fieldCode="AU" term="%22Rätsch+G%22">Rätsch G</searchLink>; Department of Computer Science, ETH Zürich, Zürich, 8092, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Medical Informatics Unit, Zürich University Hospital, 8091, Switzerland.; AI Center at ETH Zürich, Zürich, 8092, Switzerland.; Department of Biology, ETH Zürich, Zürich, 8093, Switzerland.<br /><searchLink fieldCode="AU" term="%22Borgwardt+K%22">Borgwardt K</searchLink>; Swiss Institute for Bioinformatics, Lausanne, 1015, Switzerland.; Department of Biosystems Science and Engineering, ETH Zürich, Basel, 4056, Switzerland.; Department of Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
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  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2024 Jun 28; Vol. 40 (Suppl 1), pp. i247-i256.
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              Text: 2024 Jun 28
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