View in EDS

A systematic review of machine learning algorithms for mortality risk, readmission and phenotype prediction in patients with heart failure: exploring key data sources, input variables and outcomes.

Saved in:
Bibliographic Details
Title: A systematic review of machine learning algorithms for mortality risk, readmission and phenotype prediction in patients with heart failure: exploring key data sources, input variables and outcomes.
Authors: Flok A; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany. aleksandra.flok@uni-osnabrueck.de., Kajüter Rodrigues P; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany., Pohurskyy S; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany., Teuteberg F; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2026 Jun 03; Vol. 26 (1). Date of Electronic Publication: 2026 Jun 03.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42237288
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A systematic review of machine learning algorithms for mortality risk, readmission and phenotype prediction in patients with heart failure: exploring key data sources, input variables and outcomes.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Flok+A%22">Flok A</searchLink>; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany. aleksandra.flok@uni-osnabrueck.de.<br /><searchLink fieldCode="AU" term="%22Kajüter+Rodrigues+P%22">Kajüter Rodrigues P</searchLink>; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany.<br /><searchLink fieldCode="AU" term="%22Pohurskyy+S%22">Pohurskyy S</searchLink>; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany.<br /><searchLink fieldCode="AU" term="%22Teuteberg+F%22">Teuteberg F</searchLink>; Accounting and Information Systems, Osnabrück University, Katharinenstr. 1, 49074, Osnabrück, Germany.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101088682%22">BMC medical informatics and decision making</searchLink> [BMC Med Inform Decis Mak] 2026 Jun 03; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Jun 03.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Systematic Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101088682 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1472-6947 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214726947%22">14726947 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Inform Decis Mak <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42237288
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s12911-026-03560-8
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: A systematic review of machine learning algorithms for mortality risk, readmission and phenotype prediction in patients with heart failure: exploring key data sources, input variables and outcomes.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Flok A
      – PersonEntity:
          Name:
            NameFull: Kajüter Rodrigues P
      – PersonEntity:
          Name:
            NameFull: Pohurskyy S
      – PersonEntity:
          Name:
            NameFull: Teuteberg F
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 06
              Text: 2026 Jun 03
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1472-6947
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMC medical informatics and decision making
              Type: main
ResultId 1