View in EDS

Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.

Saved in:
Bibliographic Details
Title: Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.
Authors: Ge YN; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Ouyang YM; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China., Li QQ; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China., Huang J; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China., Li D; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China., Wang CL; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China., Zhu YL; Department of Anesthesiology, Naval Medical Center, Naval Medical University, Shanghai 200052, China. Electronic address: zhuyalin1996@126.com., Wang JF; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China. Electronic address: jfwang@smmu.edu.cn.
Source: International journal of medical informatics [Int J Med Inform] 2026 Jul 15; Vol. 215, pp. 106437. Date of Electronic Publication: 2026 Apr 16.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42008965
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ge+YN%22">Ge YN</searchLink>; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Ouyang+YM%22">Ouyang YM</searchLink>; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China.<br /><searchLink fieldCode="AU" term="%22Li+QQ%22">Li QQ</searchLink>; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China.<br /><searchLink fieldCode="AU" term="%22Huang+J%22">Huang J</searchLink>; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.<br /><searchLink fieldCode="AU" term="%22Li+D%22">Li D</searchLink>; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.<br /><searchLink fieldCode="AU" term="%22Wang+CL%22">Wang CL</searchLink>; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.<br /><searchLink fieldCode="AU" term="%22Zhu+YL%22">Zhu YL</searchLink>; Department of Anesthesiology, Naval Medical Center, Naval Medical University, Shanghai 200052, China. Electronic address: zhuyalin1996@126.com.<br /><searchLink fieldCode="AU" term="%22Wang+JF%22">Wang JF</searchLink>; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai 200433, China; School of Anesthesiology, Shandong Second Medical University, Weifang 261053, China. Electronic address: jfwang@smmu.edu.cn.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229711057%22">International journal of medical informatics</searchLink> [Int J Med Inform] 2026 Jul 15; Vol. 215, pp. 106437. <i>Date of Electronic Publication: </i>2026 Apr 16.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Multicenter Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>9711057 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-8243 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213865056%22">13865056 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Inform <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42008965
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijmedinf.2026.106437
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 106437
    Titles:
      – TitleFull: Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ge YN
      – PersonEntity:
          Name:
            NameFull: Ouyang YM
      – PersonEntity:
          Name:
            NameFull: Li QQ
      – PersonEntity:
          Name:
            NameFull: Huang J
      – PersonEntity:
          Name:
            NameFull: Li D
      – PersonEntity:
          Name:
            NameFull: Wang CL
      – PersonEntity:
          Name:
            NameFull: Zhu YL
      – PersonEntity:
          Name:
            NameFull: Wang JF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 07
              Text: 2026 Jul 15
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1872-8243
          Numbering:
            – Type: volume
              Value: 215
          Titles:
            – TitleFull: International journal of medical informatics
              Type: main
ResultId 1