Subphenotyping prone position responders with machine learning.

Saved in:
Bibliographic Details
Title: Subphenotyping prone position responders with machine learning.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40087660
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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
ResultId 1