Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters
Huntington's disease (HD) is a progressive neurodegenerative disorder that affects motor, cognitive, and behavioral functions, where accurate characterization of disease progression remains essential to improve patient outcome and quality of life. Unsupervised machine learning (ML) approaches have demonstrated the ability to uncover disease progression trajectories and meaningful latent stages from longitudinal data; however, their limited interpretability restricts clinical trust and translation. We extend a previously proposed ML-based disease staging framework by applying an explainability analysis to the extracted feature representations and discovered disease stages. Applied to the E...
| Authors | Lubna Mahmoud Abu Zohair, Hind Zantout |
|---|---|
| Primary category | cs.LG |
| Published | 5 June 2026 |
| Last updated at source | 9 June 2026 |
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