A risk prediction model for hospitalization in patients with hyperemesis gravidarum based on Traditional Logistic Regression Algorithms.
- DOI
- 10.1016/j.jogoh.2026.103276
- Published
- 2026 Sep 9
- Container
- Journal of gynecology obstetrics and human reproduction
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jogoh.2026.103276,
title = {A risk prediction model for hospitalization in patients with hyperemesis gravidarum based on Traditional Logistic Regression Algorithms.},
author = {Hong X and Ye X and Shi R and Zhang Y and Wang L},
year = {2026},
journal = {Journal of gynecology obstetrics and human reproduction},
doi = {10.1016/j.jogoh.2026.103276},
url = {https://doi.org/10.1016/j.jogoh.2026.103276}
}RIS
TY - JOUR TI - A risk prediction model for hospitalization in patients with hyperemesis gravidarum based on Traditional Logistic Regression Algorithms. AU - Hong X AU - Ye X AU - Shi R AU - Zhang Y AU - Wang L PY - 2026 JO - Journal of gynecology obstetrics and human reproduction DO - 10.1016/j.jogoh.2026.103276 UR - https://doi.org/10.1016/j.jogoh.2026.103276 ER -
APA
X, H., X, Y., R, S., Y, Z., & L, W. (2026). A risk prediction model for hospitalization in patients with hyperemesis gravidarum based on Traditional Logistic Regression Algorithms.. Journal of gynecology obstetrics and human reproduction. https://doi.org/10.1016/j.jogoh.2026.103276
Source records
- pubmed · retrieved 2026-09-26T00:57:47.721Z