View in EDS

The myth of generalisability in clinical research and machine learning in health care.

Saved in:
Bibliographic Details
Title: The myth of generalisability in clinical research and machine learning in health care.
Authors: Futoma J; School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA., Simons M; Department of Medicine, NYU Langone Health, New York, NY, USA., Panch T; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Wellframe, Boston, MA, USA., Doshi-Velez F; School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA., Celi LA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Source: The Lancet. Digital health [Lancet Digit Health] 2020 Sep; Vol. 2 (9), pp. e489-e492. Date of Electronic Publication: 2020 Aug 24.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 32864600
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The myth of generalisability in clinical research and machine learning in health care.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Futoma+J%22">Futoma J</searchLink>; School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Simons+M%22">Simons M</searchLink>; Department of Medicine, NYU Langone Health, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Panch+T%22">Panch T</searchLink>; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Wellframe, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Doshi-Velez+F%22">Doshi-Velez F</searchLink>; School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Celi+LA%22">Celi LA</searchLink>; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2020 Sep; Vol. 2 (9), pp. e489-e492. <i>Date of Electronic Publication: </i>2020 Aug 24.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101751302 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-7500 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225897500%22">25897500 </searchLink><i>NLM ISO Abbreviation: </i>Lancet Digit Health
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32864600
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/S2589-7500(20)30186-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e489
    Titles:
      – TitleFull: The myth of generalisability in clinical research and machine learning in health care.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Futoma J
      – PersonEntity:
          Name:
            NameFull: Simons M
      – PersonEntity:
          Name:
            NameFull: Panch T
      – PersonEntity:
          Name:
            NameFull: Doshi-Velez F
      – PersonEntity:
          Name:
            NameFull: Celi LA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2020 Sep
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-electronic
              Value: 2589-7500
          Numbering:
            – Type: volume
              Value: 2
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: The Lancet. Digital health
              Type: main
ResultId 1