Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction

Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction

Pregnancy complications significantly impact maternal and fetal health, requiring accurate and timely diagnostic methods for life-saving interventions. Traditional manual analysis of cardiotocography (CTG) tests, a commonly used technique for fetal health monitoring, is labor-intensive and prone to...

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Main Authors: Ariana Deyaneira Jimenez-Narvaez, Victor David Casa Vaca, Jonathan Javier Loor-Duque, Isidro Rafael Amaro Martin, Ivan Galo Reyes-Chacon, Paulina Vizcaino, Manuel Eugenio Morocho-Cayamcela
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cardiotocography (CTG)
dimensionality reduction
machine learning (ML)
feature selection
medical diagnostics
Online Access:https://ieeexplore.ieee.org/document/10934988/
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https://ieeexplore.ieee.org/document/10934988/

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