View in EDS HTML Full Text PDF Full Text

Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.

Saved in:
Bibliographic Details
Title: Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
Authors: Liu K; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Zhang X; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Chen W; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Yu ASL; Division of Nephrology and Hypertension and the Jared Grantham Kidney Institute, School of Medicine, University of Kansas Medical Center, Kansas City., Kellum JA; Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania., Matheny ME; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Geriatrics Research Education and Clinical Care Center, Veterans Affairs Tennessee Valley Healthcare System, Nashville., Simpson SQ; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City., Hu Y; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China., Liu M; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City.
Source: JAMA network open [JAMA Netw Open] 2022 Jul 01; Vol. 5 (7), pp. e2219776. Date of Electronic Publication: 2022 Jul 01.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open 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: 35796212
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+K%22">Liu K</searchLink>; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Chen+W%22">Chen W</searchLink>; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Yu+ASL%22">Yu ASL</searchLink>; Division of Nephrology and Hypertension and the Jared Grantham Kidney Institute, School of Medicine, University of Kansas Medical Center, Kansas City.<br /><searchLink fieldCode="AU" term="%22Kellum+JA%22">Kellum JA</searchLink>; Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Matheny+ME%22">Matheny ME</searchLink>; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.; Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.; Geriatrics Research Education and Clinical Care Center, Veterans Affairs Tennessee Valley Healthcare System, Nashville.<br /><searchLink fieldCode="AU" term="%22Simpson+SQ%22">Simpson SQ</searchLink>; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City.<br /><searchLink fieldCode="AU" term="%22Hu+Y%22">Hu Y</searchLink>; Big Data Decision Institute, Jinan University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liu+M%22">Liu M</searchLink>; Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101729235%22">JAMA network open</searchLink> [JAMA Netw Open] 2022 Jul 01; Vol. 5 (7), pp. e2219776. <i>Date of Electronic Publication: </i>2022 Jul 01.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101729235 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-3805 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225743805%22">25743805 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Netw Open <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35796212
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1001/jamanetworkopen.2022.19776
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e2219776
    Titles:
      – TitleFull: Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu K
      – PersonEntity:
          Name:
            NameFull: Zhang X
      – PersonEntity:
          Name:
            NameFull: Chen W
      – PersonEntity:
          Name:
            NameFull: Yu ASL
      – PersonEntity:
          Name:
            NameFull: Kellum JA
      – PersonEntity:
          Name:
            NameFull: Matheny ME
      – PersonEntity:
          Name:
            NameFull: Simpson SQ
      – PersonEntity:
          Name:
            NameFull: Hu Y
      – PersonEntity:
          Name:
            NameFull: Liu M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2022 Jul 01
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 2574-3805
          Numbering:
            – Type: volume
              Value: 5
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: JAMA network open
              Type: main
ResultId 1