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 …

DFS-WR: A novel dual feature selection and weighting representation framework for classification

Z Zhang, F Zhang, L Mao, C Chen, H Ning - Information Fusion, 2024 - Elsevier
Classification methods relying on multidimensional features have been widely applied in
commerce, healthcare, and transportation. Nevertheless, haphazardly selecting …

[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 …

An evolving feature weighting framework for radial basis function neural network models

MZ Muda, AR Solis, G Panoutsos - Expert Systems, 2023 - Wiley Online Library
Abstract Via Granular Computing (GrC), one can create effective computational frameworks
for obtaining information from data, motivated by the human perception of combining similar …

Implementation Data Mining with Naive Bayes Classifier Method and Laplace Smoothing to Predict Students Learning Results

D Pradana, E Sugiharti - Recursive Journal of Informatics, 2023 - journal.unnes.ac.id
The application of information technology in the field of education produces big data. It
retains information that can be treated as useful. Having data mining, can be used to model …

Diagnosis and Classification of Fetal Health Based on CTG Data Using Machine Learning Techniques

MM Islam, M Rokunojjaman, A Amin, MN Akhtar… - … Conference on Machine …, 2022 - Springer
Cardiotocograms (CTGs) is a simple and inexpensive way for healthcare providers to
monitor fetal health, allowing them to take step to lessen infant as well as mother died. The …

Chinese and English text classification techniques incorporating CHI feature selection for ELT cloud classroom

Y Wei - Open Computer Science, 2024 - degruyter.com
Although online cloud classroom teaching has been popular, the current English teaching
cloud classroom has the defects of low information utilization and low information acquisition …

[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 …

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 …

A Comparative Study Of Heart Disease Prediction Using Tree-Based Ensemble Classification Techniques

Y Aldossary, M Ebrahim… - … Conference on Data …, 2022 - ieeexplore.ieee.org
In recent years, the prediction of heart disease has been one of the most complicated tasks
in the medical field. Approximately one person dies per minute due to heart disease in the …