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

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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
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2026.111699