View in EDS HTML Full Text PDF Full Text

ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.

Saved in:
Bibliographic Details
Title: ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.
Authors: Stephens AF; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia. research.andrew.stephens@gmail.com.; Lab 2, Level 2, Victorian Heart Hospital, 631 Blackburn Road, Melbourne, 3800, Australia. research.andrew.stephens@gmail.com., Šeman M; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia.; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Cardiology, Alfred Health, Melbourne, Australia., Diehl A; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia., Pilcher D; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia., Barbaro RP; Pediatric Critical Care Medicine, and the Susan B. Meister Child Health Evaluation and Research Center, University of Michigan, Ann Arbor, MI, USA., Brodie D; Intensive Care Unit, Columbia University Irving Medical Centre, New York, NY, USA., Pellegrino V; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia., Kaye DM; Department of Cardiology, Alfred Health, Melbourne, Australia.; Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia., Gregory SD; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia., Hodgson C; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Australian and New Zealand Intensive Care Research Centre, Melbourne, Australia.
Corporate Authors: Extracorporeal Life Support Organization Member Centres
Source: Intensive care medicine [Intensive Care Med] 2023 Sep; Vol. 49 (9), pp. 1090-1099. Date of Electronic Publication: 2023 Aug 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: United States NLM ID: 7704851 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1238 (Electronic) Linking ISSN: 03424642 NLM ISO Abbreviation: Intensive Care Med 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: 37548758
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Stephens+AF%22">Stephens AF</searchLink>; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia. research.andrew.stephens@gmail.com.; Lab 2, Level 2, Victorian Heart Hospital, 631 Blackburn Road, Melbourne, 3800, Australia. research.andrew.stephens@gmail.com.<br /><searchLink fieldCode="AU" term="%22Šeman+M%22">Šeman M</searchLink>; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia.; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Cardiology, Alfred Health, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Diehl+A%22">Diehl A</searchLink>; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Pilcher+D%22">Pilcher D</searchLink>; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Barbaro+RP%22">Barbaro RP</searchLink>; Pediatric Critical Care Medicine, and the Susan B. Meister Child Health Evaluation and Research Center, University of Michigan, Ann Arbor, MI, USA.<br /><searchLink fieldCode="AU" term="%22Brodie+D%22">Brodie D</searchLink>; Intensive Care Unit, Columbia University Irving Medical Centre, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Pellegrino+V%22">Pellegrino V</searchLink>; Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Kaye+DM%22">Kaye DM</searchLink>; Department of Cardiology, Alfred Health, Melbourne, Australia.; Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Gregory+SD%22">Gregory SD</searchLink>; Cardio-Respiratory Engineering and Technology Laboratory, Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Hodgson+C%22">Hodgson C</searchLink>; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.; Australian and New Zealand Intensive Care Research Centre, Melbourne, Australia.
– Name: AuthorCorporate
  Label: Corporate Authors
  Group: Au
  Data: <searchLink fieldCode="CA" term="%22Extracorporeal+Life+Support+Organization+Member+Centres%22">Extracorporeal Life Support Organization Member Centres</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227704851%22">Intensive care medicine</searchLink> [Intensive Care Med] 2023 Sep; Vol. 49 (9), pp. 1090-1099. <i>Date of Electronic Publication: </i>2023 Aug 07.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704851 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1238 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203424642%22">03424642 </searchLink><i>NLM ISO Abbreviation: </i>Intensive Care Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37548758
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00134-023-07157-x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1090
    Titles:
      – TitleFull: ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Stephens AF
      – PersonEntity:
          Name:
            NameFull: Šeman M
      – PersonEntity:
          Name:
            NameFull: Diehl A
      – PersonEntity:
          Name:
            NameFull: Pilcher D
      – PersonEntity:
          Name:
            NameFull: Barbaro RP
      – PersonEntity:
          Name:
            NameFull: Brodie D
      – PersonEntity:
          Name:
            NameFull: Pellegrino V
      – PersonEntity:
          Name:
            NameFull: Kaye DM
      – PersonEntity:
          Name:
            NameFull: Gregory SD
      – PersonEntity:
          Name:
            NameFull: Hodgson C
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2023 Sep
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1432-1238
          Numbering:
            – Type: volume
              Value: 49
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Intensive care medicine
              Type: main
ResultId 1