Remote Monitoring System for Preeclampsia Detection and Control
Author:
Zhivolupova Yuliya A.
Cited by
2 articles.
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1. Prediction of Preeclampsia in Pregnant Women Using Machine Learning Paradigm;Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning;2023-09-25
2. Predicting the Risk of Preeclampsia using Soft Voting-based Ensemble and Its Recommendation;2020 International Symposium on Community-centric Systems (CcS);2020-09-23