Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.

Saved in:
Bibliographic Details
Title: Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.
Authors: Alfayyadh MM; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia., Maksemous N; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia; Central Analytical Research Facility (CARF), Faculty of Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia., Sutherland HG; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia., Lea RA; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia; Central Analytical Research Facility (CARF), Faculty of Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia., Griffiths LR; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia. Electronic address: lyn.griffiths@qut.edu.au.
Source: Computers in biology and medicine [Comput Biol Med] 2026 Jun; Vol. 209, pp. 111699. Date of Electronic Publication: 2026 Apr 24.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42033889
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Alfayyadh+MM%22">Alfayyadh MM</searchLink>; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia.<br /><searchLink fieldCode="AU" term="%22Maksemous+N%22">Maksemous N</searchLink>; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia; Central Analytical Research Facility (CARF), Faculty of Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia.<br /><searchLink fieldCode="AU" term="%22Sutherland+HG%22">Sutherland HG</searchLink>; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia.<br /><searchLink fieldCode="AU" term="%22Lea+RA%22">Lea RA</searchLink>; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia; Central Analytical Research Facility (CARF), Faculty of Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia.<br /><searchLink fieldCode="AU" term="%22Griffiths+LR%22">Griffiths LR</searchLink>; Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, 4059, Australia. Electronic address: lyn.griffiths@qut.edu.au.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2026 Jun; Vol. 209, pp. 111699. <i>Date of Electronic Publication: </i>2026 Apr 24.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>1250250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0534 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200104825%22">00104825 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42033889
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.compbiomed.2026.111699
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 111699
    Titles:
      – TitleFull: Machine learning-based prediction of Familial Hemiplegic Migraine risk from genetic variants.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Alfayyadh MM
      – PersonEntity:
          Name:
            NameFull: Maksemous N
      – PersonEntity:
          Name:
            NameFull: Sutherland HG
      – PersonEntity:
          Name:
            NameFull: Lea RA
      – PersonEntity:
          Name:
            NameFull: Griffiths LR
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1879-0534
          Numbering:
            – Type: volume
              Value: 209
          Titles:
            – TitleFull: Computers in biology and medicine
              Type: main
ResultId 1