Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia

Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia

Abstract The condition known as preeclampsia is a hypertensive disorder that occurs during pregnancy and has serious implications for both the mother and the fetus. Proper management of the condition depends on early detection of preeclampsia to make a correct prognosis. In this study, we classify p...

Full description

Saved in:
Bibliographic Details
Main Authors: Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan
Format: Article
Language:English
Published: Springer 2025-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Preeclampsia prediction
Machine learning in maternal health
AI in obstetrics
Feature extraction
Soft voting
Stacking
Online Access:https://doi.org/10.1007/s44196-025-00825-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s44196-025-00825-4

Similar Items