AI-based preeclampsia detection and prediction with electrocardiogram data

AI-based preeclampsia detection and prediction with electrocardiogram data

IntroductionMore than 76,000 women die yearly from preeclampsia and hypertensive disorders of pregnancy. Early diagnosis and management of preeclampsia can improve outcomes for both mother and baby. In this study, we developed artificial intelligence models to detect and predict preeclampsia from el...

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Bibliographic Details
Main Authors: Liam Butler, Fatma Gunturkun, Lokesh Chinthala, Ibrahim Karabayir, Mohammad S. Tootooni, Berna Bakir-Batu, Turgay Celik, Oguz Akbilgic, Robert L. Davis
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
preeclampsia
electrocardiogram
ECG-AI
prediction
detection
gestational age
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1360238/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2024.1360238/full

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