Early Prediction of Preeclampsia Using a Multimodal Machine Learning Model Integrating Clinical, Hemodynamic, and Biochemical Data

Ingénierie des systèmes d information 2026

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Authors: Rosa Cardenas-Urrelo, Dino Quinteros-Navarro, Carmina Tang, Ynés Torres-Flores, Yolanda Navarro, Melissa Soto, Ana Maguiña, Marina Huamantumba
DOI: 10.18280/isi.310328
Cited by: 1

Fields of Study & Subjects

Pregnancy and preeclampsia studies Neonatal and fetal brain pathology Machine Learning in Healthcare

Publication details

Journal / source
Ingénierie des systèmes d information
Publisher
International Information and Engineering Technology Association
Volume
31
Issue
3
Pages
985–999
Publication date
31 March 2026