Polynomial flann classifier for fetal cardiotocography monitoring

MT Haweel, O Zahran… - 2021 38th National Radio …, 2021 - ieeexplore.ieee.org
An efficient adaptive classifier for fetal electronic monitoring based on a modified structure of
neural networks is presented. It employs polynomial series as a functional expansion …

[PDF][PDF] Comparative Analysis of Ensemble Learning Methods for Enhancing Fetal Health Prediction Using Cardiotocography

M Chidambaram, J Joy - International Journal of Scientific …, 2022 - researchgate.net
Nearly half of the world's stillbirths occur during labour and delivery. Early detection of any
fetal distress can prompt the doctors to take appropriate measures. Cardiotocography (CTG) …

Prediction of fetal heart disease detection using support vector machine classifier and comparing with decision tree classifier

TG Narayana, N Nalini - AIP Conference Proceedings, 2024 - pubs.aip.org
The primary goal of this study is to predict fetal heart disease detection using Magnetic
Resonance Imaging (MRI) scan images and comparing with decision tree (DT) classifiers to …

[PDF][PDF] Comparative Analysis of Dimension Reduction and Classification using Cardiotocography Data

M TOKMAK, EU KÜÇÜKSİLLE - ICONST EST'21, 2021 - researchgate.net
Neonatal deaths and pregnancy related deaths remain an important global problem
today.(Miao & H., 2018). According to WHO; in 2017, about 810 women died per day from …

Stack Ensemble Algorithm for Cardiotocography Based Foetal Health Risk Classification.

V Nagabotu, A Namburu - Revue d'Intelligence Artificielle, 2024 - search.ebscohost.com
Obstetricians utilize cardiotocography (CTG) to assess the fetal heart and lungs during
pregnancy. It can help determine if the foetus is healthy, in doubt, or suffering from disease …

Review on Fetal Health Classification

V Nagabotu, A Namburu - International Joint Conference on Advances in …, 2022 - Springer
Cardiotocography (CTG) is a method that obstetricians use to assess the physical health of
the foetus during pregnancy. It provides information on uterine respiration and foetal heart …

Comparing K-Nearest Neighbors, Random Forest and Naïve Bayes Models to Classify Fetal Health Using Resampling Methods

Y Aldossary, S Alhaddad, M Ebrahim… - … Conference on Data …, 2022 - ieeexplore.ieee.org
To preserve the lives of pregnant women and their fetuses, Cardiotocography (CTG) data is
used to check the fetus's condition and for early intervention if necessary. As a result of the …

A Machine Learning-Based Prediction Model for Fetal Health Assessment

H Varshney, A Singh - Frontiers of ICT in Healthcare: Proceedings of EAIT …, 2023 - Springer
Even with multi-fold growth in medical diagnostics, continuous and error-free monitoring of
pregnant women during the gestational stage has attracted many eye-catching concerns …

An ensemble technique of SmoteENN and random forest for classification of the cardiotocography data

R Hephzibah, AH Christinal, R Jayanthi, DA Chandy… - 2023 - IET
Fetal heart rate monitoring is very important to check the status of the fetal heart during
pregnancy. Cardiotocography is the most extensively used technique for the surveillance of …

[PDF][PDF] A Framework For Classification Of Fetal Health Using Deep Learning

MT Stow - researchgate.net
Research on child and maternal mortality risk factors has identified limited access to quality
healthcare services as a significant cause of adverse outcomes. Inadequate prenatal care …