Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models

Pregnancy complications significantly impact women and pose potential threats to the developing child’s health. Early identification of these complications is imperative for life-saving interventions. The manual analysis of cardiotocography (CTG) tests, a conventional practice among obste...

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Bibliographic Details
Main Authors: Yalamanchili Salini, Sachi Nandan Mohanty, Janjhyam Venkata Naga Ramesh, Ming Yang, Mukkoti Maruthi Venkata Chalapathi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cardiotocography
fetal heart rate (FHR)
ML models
Online Access:https://ieeexplore.ieee.org/document/10431783/

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