Machine learning for identification of restless legs syndrome-associated factors and classification model development in end-stage renal disease patients.
- DOI
- 10.3389/fneur.2026.1836086
- Published
- 2026-04-29
- Container
- Front Neurol
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2026.1836086,
title = {Machine learning for identification of restless legs syndrome-associated factors and classification model development in end-stage renal disease patients.},
author = {Yuan T and Sun N and Teng L and Xu C and Wang Y and Zhang W and Chang W.},
year = {2026},
journal = {Front Neurol},
doi = {10.3389/fneur.2026.1836086},
url = {https://doi.org/10.3389/fneur.2026.1836086}
}RIS
TY - JOUR TI - Machine learning for identification of restless legs syndrome-associated factors and classification model development in end-stage renal disease patients. AU - Yuan T AU - Sun N AU - Teng L AU - Xu C AU - Wang Y AU - Zhang W AU - Chang W. PY - 2026 JO - Front Neurol DO - 10.3389/fneur.2026.1836086 UR - https://doi.org/10.3389/fneur.2026.1836086 ER -
APA
T, Y., N, S., L, T., C, X., Y, W., W, Z., & W., C. (2026). Machine learning for identification of restless legs syndrome-associated factors and classification model development in end-stage renal disease patients.. Front Neurol. https://doi.org/10.3389/fneur.2026.1836086
Source records
- europe-pmc · retrieved 2026-09-25T11:46:36.628Z
- doaj · retrieved 2026-09-25T11:46:36.609Z