Identification of hidden subtypes in occupational health examinations and their biomedical characteristics using graph-enhanced deep representation learning.
- DOI
- 10.3389/fpubh.2026.1847173
- Published
- 2026-07-13
- Container
- Front Public Health
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1847173,
title = {Identification of hidden subtypes in occupational health examinations and their biomedical characteristics using graph-enhanced deep representation learning.},
author = {Wang Z and Chen X and Xiang W and Wang Y and Sun Y and Pan Y and Zhang C and Ye Y.},
year = {2026},
journal = {Front Public Health},
doi = {10.3389/fpubh.2026.1847173},
url = {https://doi.org/10.3389/fpubh.2026.1847173}
}RIS
TY - JOUR TI - Identification of hidden subtypes in occupational health examinations and their biomedical characteristics using graph-enhanced deep representation learning. AU - Wang Z AU - Chen X AU - Xiang W AU - Wang Y AU - Sun Y AU - Pan Y AU - Zhang C AU - Ye Y. PY - 2026 JO - Front Public Health DO - 10.3389/fpubh.2026.1847173 UR - https://doi.org/10.3389/fpubh.2026.1847173 ER -
APA
Z, W., X, C., W, X., Y, W., Y, S., Y, P., C, Z., & Y., Y. (2026). Identification of hidden subtypes in occupational health examinations and their biomedical characteristics using graph-enhanced deep representation learning.. Front Public Health. https://doi.org/10.3389/fpubh.2026.1847173
Source records
- europe-pmc · retrieved 2026-09-25T17:06:37.865Z
- doaj · retrieved 2026-09-25T17:06:37.857Z