Postpartum depression risk prediction using explainable machine learning algorithms.

Huang X, Zhang L, Zhang C, Li J, Li C

DOI: 10.3389/fmed.2025.1565374
Published: 2025
Container: Frontiers in medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmed.2025.1565374,
  title = {Postpartum depression risk prediction using explainable machine learning algorithms.},
  author = {Huang X and Zhang L and Zhang C and Li J and Li C},
  year = {2025},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2025.1565374},
  url = {https://doi.org/10.3389/fmed.2025.1565374}
}

RIS

TY  - JOUR
TI  - Postpartum depression risk prediction using explainable machine learning algorithms.
AU  - Huang X
AU  - Zhang L
AU  - Zhang C
AU  - Li J
AU  - Li C
PY  - 2025
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2025.1565374
UR  - https://doi.org/10.3389/fmed.2025.1565374
ER  -

APA

X, H., L, Z., C, Z., J, L., & C, L. (2025). Postpartum depression risk prediction using explainable machine learning algorithms.. Frontiers in medicine. https://doi.org/10.3389/fmed.2025.1565374

Source records

pubmed · retrieved 2026-09-25T10:48:36.424Z