A novel machine learning approach for the classification of Huntington disease manifestation using motor features.

Jeyakumar N, Woolnough D, Li G, Teixeira-Pinto A, Jeyakumar V, Loy CT

Open source

DOI
10.1016/j.parkreldis.2026.108851
Published
2026 Sep
Container
Parkinsonism & related disorders
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.parkreldis.2026.108851,
  title = {A novel machine learning approach for the classification of Huntington disease manifestation using motor features.},
  author = {Jeyakumar N and Woolnough D and Li G and Teixeira-Pinto A and Jeyakumar V and Loy CT},
  year = {2026},
  journal = {Parkinsonism \& related disorders},
  doi = {10.1016/j.parkreldis.2026.108851},
  url = {https://doi.org/10.1016/j.parkreldis.2026.108851}
}

RIS

TY  - JOUR
TI  - A novel machine learning approach for the classification of Huntington disease manifestation using motor features.
AU  - Jeyakumar N
AU  - Woolnough D
AU  - Li G
AU  - Teixeira-Pinto A
AU  - Jeyakumar V
AU  - Loy CT
PY  - 2026
JO  - Parkinsonism & related disorders
DO  - 10.1016/j.parkreldis.2026.108851
UR  - https://doi.org/10.1016/j.parkreldis.2026.108851
ER  - 

APA

N, J., D, W., G, L., A, T., V, J., & CT, L. (2026). A novel machine learning approach for the classification of Huntington disease manifestation using motor features.. Parkinsonism & related disorders. https://doi.org/10.1016/j.parkreldis.2026.108851

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