Machine Learning-Based Prediction of Antepartum Depression Symptoms: A Prospective Cohort Study.

Xie H, Cong S, Ni S, Han J, Sun X, Zhu R, Zhang T, Wang MY, Wu Y, Zhang A

Open source

DOI
10.2147/ijwh.s599295
Published
2026
Container
International journal of women's health
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.2147/ijwh.s599295,
  title = {Machine Learning-Based Prediction of Antepartum Depression Symptoms: A Prospective Cohort Study.},
  author = {Xie H and Cong S and Ni S and Han J and Sun X and Zhu R and Zhang T and Wang MY and Wu Y and Zhang A},
  year = {2026},
  journal = {International journal of women's health},
  doi = {10.2147/ijwh.s599295},
  url = {https://doi.org/10.2147/ijwh.s599295}
}

RIS

TY  - JOUR
TI  - Machine Learning-Based Prediction of Antepartum Depression Symptoms: A Prospective Cohort Study.
AU  - Xie H
AU  - Cong S
AU  - Ni S
AU  - Han J
AU  - Sun X
AU  - Zhu R
AU  - Zhang T
AU  - Wang MY
AU  - Wu Y
AU  - Zhang A
PY  - 2026
JO  - International journal of women's health
DO  - 10.2147/ijwh.s599295
UR  - https://doi.org/10.2147/ijwh.s599295
ER  - 

APA

H, X., S, C., S, N., J, H., X, S., R, Z., T, Z., MY, W., Y, W., & A, Z. (2026). Machine Learning-Based Prediction of Antepartum Depression Symptoms: A Prospective Cohort Study.. International journal of women's health. https://doi.org/10.2147/ijwh.s599295

Source records