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