A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset

Lubna Abu Zohair; Marta Vallejo; Md Azher Uddin; John R.  Woodward; Hind Zantout

A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Original language	English
Title of host publication	Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026)
Publisher	Association for Computing Machinery
ISBN (Print)	979-8-4007-2334-6
Publication status	Accepted/In press - 5 Apr 2026
Event	10th International Conference on Medical and Health Informatics 2026 - Kyoto, Japan Duration: 15 May 2026 → 17 May 2026 https://www.icmhi.org/

Conference

Conference	10th International Conference on Medical and Health Informatics 2026
Abbreviated title	ICMHI 2026
Country/Territory	Japan
City	Kyoto
Period	15/05/26 → 17/05/26
Internet address	https://www.icmhi.org/

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Download pdfAccepted author manuscript, 1.57 MBLicence: CC BY

Cite this

Abu Zohair, L., Vallejo, M., Uddin, M. A., Woodward , J. R., & Zantout, H. (Accepted/In press). A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset. In Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026) Association for Computing Machinery.

Abu Zohair, Lubna ; Vallejo, Marta ; Uddin, Md Azher et al. / A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages : Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset. Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026). Association for Computing Machinery, 2026.

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title = "A Machine Learning–Based Framework for Discovering Huntington{\textquoteright}s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset",

author = "\{Abu Zohair\}, Lubna and Marta Vallejo and Uddin, \{Md Azher\} and Woodward, \{John R.\} and Hind Zantout",

year = "2026",

month = apr,

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language = "English",

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booktitle = "Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026)",

publisher = "Association for Computing Machinery",

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Abu Zohair, L, Vallejo, M , Uddin, MA , Woodward , JR & Zantout, H 2026, A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset. in Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026). Association for Computing Machinery, 10th International Conference on Medical and Health Informatics 2026, Kyoto, Japan, 15/05/26.

A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset. / Abu Zohair, Lubna; Vallejo, Marta ; Uddin, Md Azher et al.
Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026). Association for Computing Machinery, 2026.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages

T2 - 10th International Conference on Medical and Health Informatics 2026

AU - Abu Zohair, Lubna

AU - Vallejo, Marta

AU - Uddin, Md Azher

AU - Woodward , John R.

AU - Zantout, Hind

PY - 2026/4/5

Y1 - 2026/4/5

M3 - Conference contribution

SN - 979-8-4007-2334-6

BT - Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026)

PB - Association for Computing Machinery

Y2 - 15 May 2026 through 17 May 2026

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Abu Zohair L, Vallejo M , Uddin MA , Woodward JR , Zantout H. A Machine Learning–Based Framework for Discovering Huntington’s Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset. In Proceedings of the 10th International Conference on Medical and Health Informatics (ICMHI2026). Association for Computing Machinery. 2026