View in EDS HTML Full Text PDF Full Text

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Saved in:
Bibliographic Details
Title: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
Authors: Betzler BK; Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore., Chee EYL; School of Computing, National University of Singapore, 117417, Singapore., He F; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Lim CC; Department of Renal Medicine, Singapore General Hospital, 168753, Singapore., Ho J; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Hamzah H; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore., Tan NC; SingHealth Polyclinics, Singapore Health Services, 168582, Singapore., Liew G; Westmead Institute for Medical Research, University of Sydney, NSW 2145, Australia., McKay GJ; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Hogg RE; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Young IS; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom., Cheng CY; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Lim SC; Khoo Teck Puat Hospital, 768828, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore., Lee AY; Department of Ophthalmology, University of Washington, Seattle, WA 98104, United States., Wong TY; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Lee ML; School of Computing, National University of Singapore, 117417, Singapore., Hsu W; School of Computing, National University of Singapore, 117417, Singapore., Tan GSW; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore., Sabanayagam C; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 1904-1914.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc 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: 37659103
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Betzler+BK%22">Betzler BK</searchLink>; Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore.<br /><searchLink fieldCode="AU" term="%22Chee+EYL%22">Chee EYL</searchLink>; School of Computing, National University of Singapore, 117417, Singapore.<br /><searchLink fieldCode="AU" term="%22He+F%22">He F</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.<br /><searchLink fieldCode="AU" term="%22Lim+CC%22">Lim CC</searchLink>; Department of Renal Medicine, Singapore General Hospital, 168753, Singapore.<br /><searchLink fieldCode="AU" term="%22Ho+J%22">Ho J</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.<br /><searchLink fieldCode="AU" term="%22Hamzah+H%22">Hamzah H</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+NC%22">Tan NC</searchLink>; SingHealth Polyclinics, Singapore Health Services, 168582, Singapore.<br /><searchLink fieldCode="AU" term="%22Liew+G%22">Liew G</searchLink>; Westmead Institute for Medical Research, University of Sydney, NSW 2145, Australia.<br /><searchLink fieldCode="AU" term="%22McKay+GJ%22">McKay GJ</searchLink>; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hogg+RE%22">Hogg RE</searchLink>; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Young+IS%22">Young IS</searchLink>; Centre for Public Health, Queen's University Belfast, Belfast BT12 6BA, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Cheng+CY%22">Cheng CY</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Lim+SC%22">Lim SC</searchLink>; Khoo Teck Puat Hospital, 768828, Singapore.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore.<br /><searchLink fieldCode="AU" term="%22Lee+AY%22">Lee AY</searchLink>; Department of Ophthalmology, University of Washington, Seattle, WA 98104, United States.<br /><searchLink fieldCode="AU" term="%22Wong+TY%22">Wong TY</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Lee+ML%22">Lee ML</searchLink>; School of Computing, National University of Singapore, 117417, Singapore.<br /><searchLink fieldCode="AU" term="%22Hsu+W%22">Hsu W</searchLink>; School of Computing, National University of Singapore, 117417, Singapore.<br /><searchLink fieldCode="AU" term="%22Tan+GSW%22">Tan GSW</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore.<br /><searchLink fieldCode="AU" term="%22Sabanayagam+C%22">Sabanayagam C</searchLink>; Singapore Eye Research Institute, Singapore National Eye Centre, 168751, Singapore.; Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School, 169857, Singapore.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 1904-1914.
– 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9430800 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-974X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210675027%22">10675027 </searchLink><i>NLM ISO Abbreviation: </i>J Am Med Inform Assoc <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37659103
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/jamia/ocad179
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1904
    Titles:
      – TitleFull: Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Betzler BK
      – PersonEntity:
          Name:
            NameFull: Chee EYL
      – PersonEntity:
          Name:
            NameFull: He F
      – PersonEntity:
          Name:
            NameFull: Lim CC
      – PersonEntity:
          Name:
            NameFull: Ho J
      – PersonEntity:
          Name:
            NameFull: Hamzah H
      – PersonEntity:
          Name:
            NameFull: Tan NC
      – PersonEntity:
          Name:
            NameFull: Liew G
      – PersonEntity:
          Name:
            NameFull: McKay GJ
      – PersonEntity:
          Name:
            NameFull: Hogg RE
      – PersonEntity:
          Name:
            NameFull: Young IS
      – PersonEntity:
          Name:
            NameFull: Cheng CY
      – PersonEntity:
          Name:
            NameFull: Lim SC
      – PersonEntity:
          Name:
            NameFull: Lee AY
      – PersonEntity:
          Name:
            NameFull: Wong TY
      – PersonEntity:
          Name:
            NameFull: Lee ML
      – PersonEntity:
          Name:
            NameFull: Hsu W
      – PersonEntity:
          Name:
            NameFull: Tan GSW
      – PersonEntity:
          Name:
            NameFull: Sabanayagam C
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 17
              M: 11
              Text: 2023 Nov 17
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1527-974X
          Numbering:
            – Type: volume
              Value: 30
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Journal of the American Medical Informatics Association : JAMIA
              Type: main
ResultId 1