Identification of hidden subtypes in occupational health examinations and their biomedical characteristics using graph-enhanced deep representation learning.

Wang Z, Chen X, Xiang W, Wang Y, Sun Y, Pan Y, Zhang C, Ye Y.

Open source

DOI
10.3389/fpubh.2026.1847173
Published
2026-07-13
Container
Front Public Health
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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