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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Hlavní autoři:	Liam Butler, Fatma Gunturkun, Lokesh Chinthala, Ibrahim Karabayir, Mohammad S. Tootooni, Berna Bakir-Batu, Turgay Celik, Oguz Akbilgic, Robert L. Davis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2024-03-01
Edice:	Frontiers in Cardiovascular Medicine
Témata:	preeclampsia electrocardiogram ECG-AI prediction detection gestational age
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fcvm.2024.1360238/full
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