Explainable Machine Learning for Predicting Student Depression Risk.

Cernechez R, Hosseini SE, Nadeem M, Pervez S, Salah M, Shahbaz M

DOI: 10.3390/bioengineering13091083
Published: 2026 Sep 18
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering13091083,
  title = {Explainable Machine Learning for Predicting Student Depression Risk.},
  author = {Cernechez R and Hosseini SE and Nadeem M and Pervez S and Salah M and Shahbaz M},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13091083},
  url = {https://doi.org/10.3390/bioengineering13091083}
}

RIS

TY  - JOUR
TI  - Explainable Machine Learning for Predicting Student Depression Risk.
AU  - Cernechez R
AU  - Hosseini SE
AU  - Nadeem M
AU  - Pervez S
AU  - Salah M
AU  - Shahbaz M
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13091083
UR  - https://doi.org/10.3390/bioengineering13091083
ER  -

APA

R, C., SE, H., M, N., S, P., M, S., & M, S. (2026). Explainable Machine Learning for Predicting Student Depression Risk.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13091083

Source records

pubmed · retrieved 2026-09-26T18:32:22.942Z