Subphenotyping prone position responders with machine learning.
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| Title: | Subphenotyping prone position responders with machine learning. |
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| Authors: | Fosset M; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Medical Intensive Care Unit and PhyMedExp, Lapeyronie Montpellier University Hospital, Lapeyronie Teaching Hospital, University Montpellier, 1; 371 Avenue Du Doyen Gaston Giraud, 34090, Montpellier, CEDEX 5, France.; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France., von Wedel D; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany., Redaelli S; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.; Department of Anesthesiology, Perioperative and Pain Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA., Talmor D; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Molinari N; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France., Josse J; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France., Baedorf-Kassis EN; Department of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Schaefer MS; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Department of Anesthesiology, Duesseldorf University Hospital, Duesseldorf, Germany., Jung B; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr.; Medical Intensive Care Unit and PhyMedExp, Lapeyronie Montpellier University Hospital, Lapeyronie Teaching Hospital, University Montpellier, 1; 371 Avenue Du Doyen Gaston Giraud, 34090, Montpellier, CEDEX 5, France. b-jung@chu-montpellier.fr.; Department of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr. |
| Source: | Critical care (London, England) [Crit Care] 2025 Mar 14; Vol. 29 (1), pp. 116. Date of Electronic Publication: 2025 Mar 14. |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 9801902 Publication Model: Electronic Cited Medium: Internet ISSN: 1466-609X (Electronic) Linking ISSN: 13648535 NLM ISO Abbreviation: Crit Care Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40087660 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Subphenotyping prone position responders with machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fosset+M%22">Fosset M</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Medical Intensive Care Unit and PhyMedExp, Lapeyronie Montpellier University Hospital, Lapeyronie Teaching Hospital, University Montpellier, 1; 371 Avenue Du Doyen Gaston Giraud, 34090, Montpellier, CEDEX 5, France.; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France.<br /><searchLink fieldCode="AU" term="%22von+Wedel+D%22">von Wedel D</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Redaelli+S%22">Redaelli S</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.; Department of Anesthesiology, Perioperative and Pain Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA.<br /><searchLink fieldCode="AU" term="%22Talmor+D%22">Talmor D</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Molinari+N%22">Molinari N</searchLink>; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France.<br /><searchLink fieldCode="AU" term="%22Josse+J%22">Josse J</searchLink>; Desbrest Institute of Epidemiology and Public Health, University of Montpellier, INRIA, Montpellier, France.<br /><searchLink fieldCode="AU" term="%22Baedorf-Kassis+EN%22">Baedorf-Kassis EN</searchLink>; Department of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Schaefer+MS%22">Schaefer MS</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.; Department of Anesthesiology, Duesseldorf University Hospital, Duesseldorf, Germany.<br /><searchLink fieldCode="AU" term="%22Jung+B%22">Jung B</searchLink>; Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr.; Center for Anesthesia Research Excellence (CARE), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr.; Medical Intensive Care Unit and PhyMedExp, Lapeyronie Montpellier University Hospital, Lapeyronie Teaching Hospital, University Montpellier, 1; 371 Avenue Du Doyen Gaston Giraud, 34090, Montpellier, CEDEX 5, France. b-jung@chu-montpellier.fr.; Department of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. b-jung@chu-montpellier.fr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229801902%22">Critical care (London, England)</searchLink> [Crit Care] 2025 Mar 14; Vol. 29 (1), pp. 116. <i>Date of Electronic Publication: </i>2025 Mar 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Observational Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9801902 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1466-609X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213648535%22">13648535 </searchLink><i>NLM ISO Abbreviation: </i>Crit Care <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40087660 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13054-025-05340-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 116 Titles: – TitleFull: Subphenotyping prone position responders with machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fosset M – PersonEntity: Name: NameFull: von Wedel D – PersonEntity: Name: NameFull: Redaelli S – PersonEntity: Name: NameFull: Talmor D – PersonEntity: Name: NameFull: Molinari N – PersonEntity: Name: NameFull: Josse J – PersonEntity: Name: NameFull: Baedorf-Kassis EN – PersonEntity: Name: NameFull: Schaefer MS – PersonEntity: Name: NameFull: Jung B IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 03 Text: 2025 Mar 14 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1466-609X Numbering: – Type: volume Value: 29 – Type: issue Value: 1 Titles: – TitleFull: Critical care (London, England) Type: main |
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