Crossmark

Machine learning-based management of hypertensive disorders in pregnancy: analysis of differences in key risk factors between gestational hypertension and pre-eclampsia and construction of a pre-eclampsia prediction model

Crossref DOI link: https://doi.org/10.1186/s40001-025-03407-4

Published Online: 2025-11-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chen, Yu

Shi, Xinyan

Wang, Zhiyi

Zhang, Lin
License Information

Text and Data Mining valid from 2025-11-18

Version of Record valid from 2025-11-18
More Information

Article History

Received: 9 May 2025

Accepted: 24 October 2025

First Online: 18 November 2025

Declarations

:

: The study was approved by the Ethics Committee of Hangzhou Maternity Protection Hospital (Medical Ethics Review A [152], 2024). As a retrospective study, the study process did not cause additional adverse effects on patients, and patient information and data were adequately protected. The study followed the ethical principles of the Declaration of Helsinki and was conducted in accordance with the "Measures for the Ethical Review of Biomedical Research Involving Human Subjects". The ethics committee granted a waiver of informed consent for the retrospective and anonymized character of the data.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below