Early prediction of circulatory failure in the intensive care unit using machine learning.
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| Title: | Early prediction of circulatory failure in the intensive care unit using machine learning. |
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| Authors: | Hyland SL; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland., Faltys M; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland., Hüser M; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland., Lyu X; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland., Gumbsch T; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Esteban C; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland., Bock C; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Horn M; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Moor M; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Rieck B; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Zimmermann M; Department of Computer Science, ETH Zürich, Zürich, Switzerland., Bodenham D; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland., Borgwardt K; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. karsten.borgwardt@bsse.ethz.ch.; Swiss Institute for Bioinformatics, Lausanne, Switzerland. karsten.borgwardt@bsse.ethz.ch., Rätsch G; Department of Computer Science, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. gunnar.raetsch@inf.ethz.ch.; Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA. gunnar.raetsch@inf.ethz.ch.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Swiss Institute for Bioinformatics, Lausanne, Switzerland. gunnar.raetsch@inf.ethz.ch.; Department of Biology, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch., Merz TM; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland. tobiasm@adhb.govt.nz.; Cardiovascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand. tobiasm@adhb.govt.nz. |
| Source: | Nature medicine [Nat Med] 2020 Mar; Vol. 26 (3), pp. 364-373. Date of Electronic Publication: 2020 Mar 09. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 32152583 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Early prediction of circulatory failure in the intensive care unit using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hyland+SL%22">Hyland SL</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Faltys+M%22">Faltys M</searchLink>; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Hüser+M%22">Hüser M</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Lyu+X%22">Lyu X</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Gumbsch+T%22">Gumbsch T</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Esteban+C%22">Esteban C</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Bock+C%22">Bock C</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Horn+M%22">Horn M</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Moor+M%22">Moor M</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Rieck+B%22">Rieck B</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zimmermann+M%22">Zimmermann M</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Bodenham+D%22">Bodenham D</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.; Swiss Institute for Bioinformatics, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Borgwardt+K%22">Borgwardt K</searchLink>; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland. karsten.borgwardt@bsse.ethz.ch.; Swiss Institute for Bioinformatics, Lausanne, Switzerland. karsten.borgwardt@bsse.ethz.ch.<br /><searchLink fieldCode="AU" term="%22Rätsch+G%22">Rätsch G</searchLink>; Department of Computer Science, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. gunnar.raetsch@inf.ethz.ch.; Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA. gunnar.raetsch@inf.ethz.ch.; Medical Informatics Unit, Zürich University Hospital, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.; Swiss Institute for Bioinformatics, Lausanne, Switzerland. gunnar.raetsch@inf.ethz.ch.; Department of Biology, ETH Zürich, Zürich, Switzerland. gunnar.raetsch@inf.ethz.ch.<br /><searchLink fieldCode="AU" term="%22Merz+TM%22">Merz TM</searchLink>; Department of Intensive Care Medicine, University Hospital, University of Bern, Bern, Switzerland. tobiasm@adhb.govt.nz.; Cardiovascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand. tobiasm@adhb.govt.nz. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229502015%22">Nature medicine</searchLink> [Nat Med] 2020 Mar; Vol. 26 (3), pp. 364-373. <i>Date of Electronic Publication: </i>2020 Mar 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Company%22">Nature Publishing Company </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9502015 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1546-170X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210788956%22">10788956 </searchLink><i>NLM ISO Abbreviation: </i>Nat Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32152583 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41591-020-0789-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 364 Titles: – TitleFull: Early prediction of circulatory failure in the intensive care unit using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hyland SL – PersonEntity: Name: NameFull: Faltys M – PersonEntity: Name: NameFull: Hüser M – PersonEntity: Name: NameFull: Lyu X – PersonEntity: Name: NameFull: Gumbsch T – PersonEntity: Name: NameFull: Esteban C – PersonEntity: Name: NameFull: Bock C – PersonEntity: Name: NameFull: Horn M – PersonEntity: Name: NameFull: Moor M – PersonEntity: Name: NameFull: Rieck B – PersonEntity: Name: NameFull: Zimmermann M – PersonEntity: Name: NameFull: Bodenham D – PersonEntity: Name: NameFull: Borgwardt K – PersonEntity: Name: NameFull: Rätsch G – PersonEntity: Name: NameFull: Merz TM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2020 Mar Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 1546-170X Numbering: – Type: volume Value: 26 – Type: issue Value: 3 Titles: – TitleFull: Nature medicine Type: main |
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