[PDF][PDF] Cardiotocography data analysis to predict fetal health risks with tree-based ensemble learning

P Bhowmik, PC Bhowmik, UME Ali… - Inf. Technol. Comput …, 2021 - researchgate.net
A sizeable number of women face difficulties during pregnancy, which eventually can lead
the fetus towards serious health problems. However, early detection of these risks can save …

Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data

R Kapila, S Saleti - Computational Biology and Chemistry, 2023 - Elsevier
Cardiotocography (CTG) captured the fetal heart rate and the timing of uterine contractions.
Throughout pregnancy, CTG intelligent categorization is crucial for monitoring fetal health …

[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) …

Classification of the cardiotocogram data for anticipation of fetal risks using bagging ensemble classifier

A Subasi, B Kadasa, E Kremic - Procedia Computer Science, 2020 - Elsevier
Cardiotocography (CTG) is utilized for monitoring fetal status during antepartum and
intrapartum periods to predict the condition of the fetal wellbeing, broadly in pregnant …

Fetal health classification from cardiotocographic data using machine learning

A Mehbodniya, AJP Lazar, J Webber… - Expert …, 2022 - Wiley Online Library
Health complications during the gestation period have evolved as a global issue. These
complications sometimes result in the mortality of the fetus, which is more prevalent in …

[Retracted] Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification

MT Alam, MAI Khan, NN Dola, T Tazin… - Applied Bionics and …, 2022 - Wiley Online Library
Obstetricians often utilize cardiotocography (CTG) to assess a child's physical health
throughout pregnancy because it gives data on the fetal heartbeat and uterine contractions …

Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models

Y Salini, SN Mohanty, JVN Ramesh, M Yang… - IEEE …, 2024 - ieeexplore.ieee.org
Pregnancy complications significantly impact women and pose potential threats to the
developing child's health. Early identification of these complications is imperative for life …

[PDF][PDF] Performance comparison of three classifiers for fetal health classification based on cardiotocographic data

V Khare, S Kumari - Acadlore Transactions on AI and Machine …, 2022 - library.acadlore.com
The global child mortality rate, which is steadily declining, will be around 26 fatalities per
1000 live births in 2022. Numerous Sustainable Development Goals of the United Nations …

Classification and feature selection approaches for cardiotocography by machine learning techniques

SCR Nandipati, C XinYing - Journal of Telecommunication …, 2020 - jtec.utem.edu.my
Cardiotocography (CTG) is the commonly used tool to monitor fetal distress (hypoxia), other
fetal risks such as fetal heart rate, and autonomous nervous system maturation. If not …

Evaluating the Effectiveness of LightGBM for Fetal Health Prediction

CJ Aristan, N Yang, VO Biliam… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The health of the fetus is essential for assuring that babies are born healthy. A mother's fetus
must be in excellent health. The categorization of fetal health is essential for assessing the …