Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis.

Saved in:
Bibliographic Details
Title: Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis.
Authors: Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. kjh7vp@uvahealth.org., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Alvani MS; Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Meinagh SO; Department of Neurology, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Kooshki A; Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran., Afkhami-Ardakani O; University of Pécs, Medical School, Pécs, Hungary., Rasouli F; North Khorasan University of Medical Sciences, Bojnurd, Iran., Tos SM; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Tavanaei R; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Akhlaghpasand M; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hashemi R; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hasanzade A; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Source: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2025 Feb; Vol. 46 (2), pp. 689-696. Date of Electronic Publication: 2024 Nov 12.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100959175 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1590-3478 (Electronic) Linking ISSN: 15901874 NLM ISO Abbreviation: Neurol Sci 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: 39528858
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hajikarimloo+B%22">Hajikarimloo B</searchLink>; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. kjh7vp@uvahealth.org.<br /><searchLink fieldCode="AU" term="%22Habibi+MA%22">Habibi MA</searchLink>; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Alvani+MS%22">Alvani MS</searchLink>; Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Meinagh+SO%22">Meinagh SO</searchLink>; Department of Neurology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Kooshki+A%22">Kooshki A</searchLink>; Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran.<br /><searchLink fieldCode="AU" term="%22Afkhami-Ardakani+O%22">Afkhami-Ardakani O</searchLink>; University of Pécs, Medical School, Pécs, Hungary.<br /><searchLink fieldCode="AU" term="%22Rasouli+F%22">Rasouli F</searchLink>; North Khorasan University of Medical Sciences, Bojnurd, Iran.<br /><searchLink fieldCode="AU" term="%22Tos+SM%22">Tos SM</searchLink>; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.<br /><searchLink fieldCode="AU" term="%22Tavanaei+R%22">Tavanaei R</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Akhlaghpasand+M%22">Akhlaghpasand M</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Hashemi+R%22">Hashemi R</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Hasanzade+A%22">Hasanzade A</searchLink>; Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100959175%22">Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology</searchLink> [Neurol Sci] 2025 Feb; Vol. 46 (2), pp. 689-696. <i>Date of Electronic Publication: </i>2024 Nov 12.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Systematic Review; Meta-Analysis
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+Italia%22">Springer-Verlag Italia </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>100959175 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1590-3478 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215901874%22">15901874 </searchLink><i>NLM ISO Abbreviation: </i>Neurol Sci <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39528858
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10072-024-07879-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 689
    Titles:
      – TitleFull: Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hajikarimloo B
      – PersonEntity:
          Name:
            NameFull: Habibi MA
      – PersonEntity:
          Name:
            NameFull: Alvani MS
      – PersonEntity:
          Name:
            NameFull: Meinagh SO
      – PersonEntity:
          Name:
            NameFull: Kooshki A
      – PersonEntity:
          Name:
            NameFull: Afkhami-Ardakani O
      – PersonEntity:
          Name:
            NameFull: Rasouli F
      – PersonEntity:
          Name:
            NameFull: Tos SM
      – PersonEntity:
          Name:
            NameFull: Tavanaei R
      – PersonEntity:
          Name:
            NameFull: Akhlaghpasand M
      – PersonEntity:
          Name:
            NameFull: Hashemi R
      – PersonEntity:
          Name:
            NameFull: Hasanzade A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2025 Feb
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1590-3478
          Numbering:
            – Type: volume
              Value: 46
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
              Type: main
ResultId 1