Combination of feature selection and resampling methods to predict preterm birth based on electrohysterographic signals from imbalance data

F Nieto-del-Amor, G Prats-Boluda, J Garcia-Casado… - Sensors, 2022 - mdpi.com
Due to its high sensitivity, electrohysterography (EHG) has emerged as an alternative
technique for predicting preterm labor. The main obstacle in designing preterm labor …

Optimized feature subset selection using genetic algorithm for preterm labor prediction based on electrohysterography

F Nieto-del-Amor, G Prats-Boluda… - Sensors, 2021 - mdpi.com
Electrohysterography (EHG) has emerged as an alternative technique to predict preterm
labor, which still remains a challenge for the scientific-technical community. Based on EHG …

Design and Assessment of a Robust and Generalizable ANN‐Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic …

J Mas-Cabo, G Prats-Boluda… - Journal of …, 2019 - Wiley Online Library
Preterm labor is one of the major causes of neonatal deaths and also the cause of significant
health and development impairments in those who survive. However, there are still no …

Novel multichannel entropy features and machine learning for early assessment of pregnancy progression using electrohysterography

A Cheng, Y Yao, Y Jin, C Chen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: Preterm birth is the leading cause of morbidity and mortality involving over 10% of
infants. Tools for timely diagnosis of preterm birth are lacking and the underlying …

Realistic preterm prediction based on optimized synthetic sampling of EHG signal

J Xu, Z Chen, J Zhang, Y Lu, X Yang, A Pumir - Computers in Biology and …, 2021 - Elsevier
Preterm labor is the leading cause of neonatal morbidity and mortality in newborns and has
attracted significant research attention from many scientific areas. The relationship between …

Prediction of preterm delivery from unbalanced EHG database

S Mohammadi Far, M Beiramvand, M Shahbakhti… - Sensors, 2022 - mdpi.com
Objective: The early prediction of preterm labor can significantly minimize premature
delivery complications for both the mother and infant. The aim of this research is to propose …

Enhancing classification of preterm-term birth using continuous wavelet transform and entropy-based methods of electrohysterogram signals

H Romero-Morales… - Frontiers in …, 2023 - frontiersin.org
Introduction Despite vast research, premature birth's electrophysiological mechanisms are
not fully understood. Prediction of preterm birth contributes to child survival by providing …

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

G Vandewiele, I Dehaene, G Kovács, L Sterckx… - Artificial Intelligence in …, 2021 - Elsevier
Abstract Information extracted from electrohysterography recordings could potentially prove
to be an interesting additional source of information to estimate the risk on preterm birth …

Review on EHG signal analysis and its application in preterm diagnosis

J Xu, Z Chen, H Lou, G Shen, A Pumir - Biomedical Signal Processing and …, 2022 - Elsevier
Preterm birth is the leading cause of neonatal morbidity and mortality. Early identification of
high-risk deliveries, combined with appropriate medication appears as the way to treat the …

Prediction of preterm deliveries from EHG signals using machine learning

P Fergus, P Cheung, A Hussain, D Al-Jumeily… - PloS one, 2013 - journals.plos.org
There has been some improvement in the treatment of preterm infants, which has helped to
increase their chance of survival. However, the rate of premature births is still globally …