Machine Learning-Based Prediction of Antepartum Depression Symptoms: A Prospective Cohort Study.
- 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.
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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
- pubmed · retrieved 2026-09-27T13:04:39.787Z