Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth
and assessing the potential maternal risks during pregnancy. The primary aim of this review …
and assessing the potential maternal risks during pregnancy. The primary aim of this review …
Exploring machine learning algorithms to find the best features for predicting modes of childbirth
The mode of delivery is a crucial determinant for ensuring the safety of both mother and
child. The current practice for predicting the mode of delivery is generally the opinion of the …
child. The current practice for predicting the mode of delivery is generally the opinion of the …
Development of a prediction model on preeclampsia using machine learning-based method: a retrospective cohort study in China
M Liu, X Yang, G Chen, Y Ding, M Shi, L Sun… - Frontiers in …, 2022 - frontiersin.org
Objective: The aim of this study was to use machine learning methods to analyze all
available clinical and laboratory data obtained during prenatal screening in early pregnancy …
available clinical and laboratory data obtained during prenatal screening in early pregnancy …
Comparative study of support vector machines and random forests machine learning algorithms on credit operation
G Teles, JJPC Rodrigues, RAL Rabelo… - Software: Practice …, 2021 - Wiley Online Library
Corporate insolvency has significant adverse effects on an economy. With the number of
multinationals increasing rapidly, corporate bankruptcy can severely disrupt the global …
multinationals increasing rapidly, corporate bankruptcy can severely disrupt the global …
[HTML][HTML] Reliable prediction models based on enriched data for identifying the mode of childbirth by using machine learning methods: development study
Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …
business and trade, social and electronic media, education and learning, manufacturing …
Prediction of postoperative complications of pediatric cataract patients using data mining
K Zhang, X Liu, J Jiang, W Li, S Wang, L Liu… - Journal of translational …, 2019 - Springer
Background The common treatment for pediatric cataracts is to replace the cloudy lens with
an artificial one. However, patients may suffer complications (severe lens proliferation into …
an artificial one. However, patients may suffer complications (severe lens proliferation into …
Predicting the need of neonatal resuscitation using data mining
It is estimated that approximately 10% of newborns require some kind of assistance for
breathing at birth. Aiming to prevent neonatal mortality, the goal behind this paper is to …
breathing at birth. Aiming to prevent neonatal mortality, the goal behind this paper is to …
Biomedical data analytics in mobile-health environments for high-risk pregnancy outcome prediction
Abstract According to the World Health Organization (WHO), a significant reduction in
mortality and maternal morbidity has occurred in developed countries over the past …
mortality and maternal morbidity has occurred in developed countries over the past …
Nature-inspired algorithm for training multilayer perceptron networks in e-health environments for high-risk pregnancy care
Nature presents an infinite source of inspiration for computational models and paradigms, in
particular for researchers associated with the area known as natural computing. The …
particular for researchers associated with the area known as natural computing. The …
Averaged one-dependence estimators on edge devices for smart pregnancy data analysis
The development of edge computing has allowed the Internet of Things (IoT) to reach higher
levels of operational efficiency, knowledge generation, and decision-making through a …
levels of operational efficiency, knowledge generation, and decision-making through a …