BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model

L Xuanzhi, A Hakeem, L Mohaisen, M Umer… - Frontiers in …, 2024 - frontiersin.org
Brain stress monitoring has emerged as a critical research area for understanding and
managing stress and neurological health issues. This burgeoning field aims to provide …

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 …

Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI

N Innab, S Alsubai, EA Alabdulqader… - Frontiers in Public …, 2024 - frontiersin.org
Fetal health holds paramount importance in prenatal care and obstetrics, as it directly
impacts the wellbeing of mother and fetus. Monitoring fetal health through pregnancy is …

[HTML][HTML] Artificial intelligence-driven predictive framework for early detection of still birth

SA Alzakari, A Aldrees, M Umer, L Cascone, N Innab… - SLAS technology, 2024 - Elsevier
Predictive modeling is becoming increasingly popular in the context of early disease
detection. The use of machine learning approaches for predictive modeling can help early …

Adaptive weighted diversity ensemble learning approach for fetal health classification on cardiotocography data

KA Shastry, SG Mohan, TGM Kumar, DU Karthik… - IEEE …, 2024 - ieeexplore.ieee.org
Accurate classification of cardiotocography (CTG) data is crucial for monitoring fetal health
during pregnancy. However, existing methodologies face challenges in achieving precise …

A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization

F Hardalaç, H Akmal, K Ayturan, UR Acharya… - Interdisciplinary …, 2024 - Springer
Cardiotocography (CTG) is used to assess the health of the fetus during birth or antenatally
in the third trimester. It concurrently detects the maternal uterine contractions (UC) and fetal …

[PDF][PDF] Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data.

U Sirisha, PN Srinivasu, P Padmavathi… - … , Materials & Continua, 2024 - researchgate.net
Fetal health care is vital in ensuring the health of pregnant women and the fetus. Regular
check-ups need to be taken by the mother to determine the status of the fetus' growth and …

Fetal Health Classification using AI from Cardiotocography Features

G Jyostna, HR Goyal, MEM Soudagar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Maternal health issues during pregnancy are a major global concern because they result in
fetal death, which is more frequent in rising and poor countries. Cardiotocography (CTG) is …

Comprehensive Classification of Fetal Health Using Cardiotocogram Data Based on Machine Learning

A Alkurdi, AM Abdulazeez - Indonesian Journal of Computer Science, 2024 - 3.8.6.95
In the realm of obstetrics, the evaluation of fetal health remains a paramount yet challenging
endeavor. Traditional approaches, such as electronic fetal monitoring (EFM), despite their …

Assessing Performance Across Various Machine Learning Algorithms with Integrated Feature Selection for Fetal Heart Classification

LR Amanda, MD Anasanti - International Journal of Artificial Intelligence …, 2024 - ijair.id
The global concern over declining perinatal death rates, particularly in low-and middle-
income nations, underscores the importance of adopting Cardiotocography (CTG) as a vital …