View in EDS HTML Full Text PDF Full Text

Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.

Saved in:
Bibliographic Details
Title: Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.
Authors: Mieling M; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. m.mieling@uni-luebeck.de., Yousuf M; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany., Bunzeck N; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de.; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de.
Corporate Authors: Alzheimer’s Disease Neuroimaging Initiative
Source: GeroScience [Geroscience] 2026 Feb; Vol. 48 (1), pp. 463-487. Date of Electronic Publication: 2025 Apr 26.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience 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: 40285975
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mieling+M%22">Mieling M</searchLink>; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. m.mieling@uni-luebeck.de.<br /><searchLink fieldCode="AU" term="%22Yousuf+M%22">Yousuf M</searchLink>; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany.<br /><searchLink fieldCode="AU" term="%22Bunzeck+N%22">Bunzeck N</searchLink>; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de.; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de.
– Name: AuthorCorporate
  Label: Corporate Authors
  Group: Au
  Data: <searchLink fieldCode="CA" term="%22Alzheimer%27s+Disease+Neuroimaging+Initiative%22">Alzheimer’s Disease Neuroimaging Initiative</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101686284%22">GeroScience</searchLink> [Geroscience] 2026 Feb; Vol. 48 (1), pp. 463-487. <i>Date of Electronic Publication: </i>2025 Apr 26.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International+Publishing%22">Springer International Publishing </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101686284 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-2723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225092723%22">25092723 </searchLink><i>NLM ISO Abbreviation: </i>Geroscience <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40285975
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11357-025-01626-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 463
    Titles:
      – TitleFull: Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mieling M
      – PersonEntity:
          Name:
            NameFull: Yousuf M
      – PersonEntity:
          Name:
            NameFull: Bunzeck N
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2026 Feb
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2509-2723
          Numbering:
            – Type: volume
              Value: 48
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: GeroScience
              Type: main
ResultId 1