[HTML][HTML] Automated labour detection framework to monitor pregnant women with a high risk of premature labour using machine learning and deep learning

H Allahem, S Sampalli - Informatics in Medicine Unlocked, 2022 - Elsevier
It is estimated that more than 1 in 10 babies are born prematurely worldwide. Moreover,
premature babies can face lifelong health-related disabilities, such as difficulties in learning …

Applying deep learning for adverse pregnancy outcome detection with pre-pregnancy health data

Y Mu, K Feng, Y Yang, J Wang - MATEC Web of …, 2018 - matec-conferences.org
Adverse pregnancy outcomes can bring enormous losses to both families and the society.
Thus, pregnancy outcome prediction stays a crucial research topic as it may help reducing …

[PDF][PDF] A Systematic Review Using Machine Learning Algorithms for Predicting Preterm Birth

R Surendiran, R Aarthi, M Thangamani… - International Journal …, 2022 - researchgate.net
Preterm births (PTB) affect nearly 15 million kids worldwide. At present, medical fields aim to
reduce the possessions of prematurity rather than avoid it. The cervix is currently measured …

On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines

E Nsugbe, JJ Reyes‐Lagos, D Adams… - Healthcare …, 2023 - Wiley Online Library
Preterm birth is a global epidemic affecting millions of mothers across different ethnicities.
The cause of the condition remains unknown but has recognised health‐based implications …

Prediction of preterm birth using artificial intelligence: a systematic review

M Akazawa, K Hashimoto - Journal of Obstetrics and Gynaecology, 2022 - Taylor & Francis
Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth.
We elucidated the state of artificial intelligence research on the prediction of preterm birth …

Fetal Health Prediction using neural networks

A Chowdhury, A Chahar, R Eswara… - 2022 8th …, 2022 - ieeexplore.ieee.org
A fetus is an unborn child in the basics until it is born into the world. The time when the
women is pregnant, every three months is referred to as a trimester. The fetus grows and …

Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning

MG Frasch, SB Strong, D Nilosek, J Leaverton… - Frontiers in …, 2021 - frontiersin.org
Despite broad application during labor and delivery, there remains considerable debate
about the value of electronic fetal monitoring (EFM). EFM includes the surveillance of fetal …

Stress detection system for working pregnant women using an improved deep recurrent neural network

SD Sharma, S Sharma, R Singh, A Gehlot… - Electronics, 2022 - mdpi.com
Stress is a concerning issue in today's world. Stress in pregnancy harms both the
development of children and the health of pregnant women. As a result, assessing the stress …

[HTML][HTML] Automated uterine contractions pattern detection framework to monitor pregnant women with a high risk of premature labour

H Allahem, S Sampalli - Informatics in Medicine Unlocked, 2020 - Elsevier
More than one in ten babies are born prematurely worldwide, resulting in nearly one million
deaths each year. Furthermore, surviving babies face lifelong health-related disabilities …

[HTML][HTML] A comprehensive review of the role of artificial intelligence in obstetrics and gynecology

SN Malani IV, D Shrivastava, MS Raka - Cureus, 2023 - ncbi.nlm.nih.gov
The exponential growth of artificial intelligence (AI) has fascinated its application in various
fields and so in the field of healthcare. Technological advancements in theories and learning …