Interpretable machine learning for identifying co-occurring internet addiction and maladaptive cognitive emotion regulation in older adults: a cross-sectional study.

Gui J, Chen H, Li J, Wang J, Wang Y, Zhang R, Zhang X, Chen H, Zhang X, Zhang J, Wang W

Open source

DOI
10.3389/fpubh.2026.1901765
Published
2026
Container
Frontiers in public health
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fpubh.2026.1901765,
  title = {Interpretable machine learning for identifying co-occurring internet addiction and maladaptive cognitive emotion regulation in older adults: a cross-sectional study.},
  author = {Gui J and Chen H and Li J and Wang J and Wang Y and Zhang R and Zhang X and Chen H and Zhang X and Zhang J and Wang W},
  year = {2026},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2026.1901765},
  url = {https://doi.org/10.3389/fpubh.2026.1901765}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning for identifying co-occurring internet addiction and maladaptive cognitive emotion regulation in older adults: a cross-sectional study.
AU  - Gui J
AU  - Chen H
AU  - Li J
AU  - Wang J
AU  - Wang Y
AU  - Zhang R
AU  - Zhang X
AU  - Chen H
AU  - Zhang X
AU  - Zhang J
AU  - Wang W
PY  - 2026
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1901765
UR  - https://doi.org/10.3389/fpubh.2026.1901765
ER  - 

APA

J, G., H, C., J, L., J, W., Y, W., R, Z., X, Z., H, C., X, Z., J, Z., & W, W. (2026). Interpretable machine learning for identifying co-occurring internet addiction and maladaptive cognitive emotion regulation in older adults: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1901765

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