[HTML][HTML] Reliable prediction models based on enriched data for identifying the mode of childbirth by using machine learning methods: development study

Z Ullah, F Saleem, M Jamjoom, B Fakieh - Journal of Medical Internet …, 2021 - jmir.org
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 …

[HTML][HTML] Prediction of the mode of delivery using artificial intelligence algorithms

ADR Fernández, DR Fernández… - Computer Methods and …, 2022 - Elsevier
Background and objective Mode of delivery is one of the issues that most concerns
obstetricians. The caesarean section rate has increased progressively in recent years …

Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries

J Guedalia, M Lipschuetz, M Novoselsky-Persky… - American Journal of …, 2020 - Elsevier
Background The process of childbirth is one of the most crucial events in the future health
and development of the offspring. The vulnerability of parturients and fetuses during the …

Primary risk stratification for neonatal jaundice among term neonates using machine learning algorithm

J Guedalia, R Farkash, N Wasserteil, Y Kasirer… - Early Human …, 2022 - Elsevier
Background Neonatal jaundice occurs in approximately 60% of term newborns. Although
risk factors for neonatal jaundice have been studied, all the suggested strategies are based …

Ensemble based machine learning model for early detection of mother's delivery mode

M Hasan, MJ Zobair, S Akter, M Ashef… - 2023 International …, 2023 - ieeexplore.ieee.org
The mother's mode of delivery greatly impacts the relationship between the newborn baby
and the mother, as well as the mother's and baby's health. Currently, the cesarean rate is …

Prediction of emergency Cesarean Section using machine learning methods: Development and External Validation of a nationwide Multicenter dataset in Republic of …

JH Wie, SJ Lee, SK Choi, YS Jo, HS Hwang, MH Park… - Life, 2022 - mdpi.com
This study was a multicenter retrospective cohort study of term nulliparous women who
underwent labor, and was conducted to develop an automated machine learning model for …

Trial of labor after cesarean, vaginal birth after cesarean, and the risk of uterine rupture: an expert review

U Deshmukh, AE Denoble, M Son - American Journal of Obstetrics and …, 2024 - Elsevier
The decision to pursue a trial of labor after cesarean delivery is complex and depends on
patient preference, the likelihood of successful vaginal birth after cesarean delivery …

Predictive models for estimating the probability of successful vaginal birth after cesarean delivery: a systematic review

N Black, I Henderson, BH Al Wattar… - Obstetrics & …, 2022 - journals.lww.com
OBJECTIVE: To systematically review all studies that developed or validated a vaginal birth
after cesarean (VBAC) prediction model. DATA SOURCES: MEDLINE, EMBASE, CINAHL …

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning

SM Lee, Y Nam, ES Choi, YM Jung, V Sriram… - Scientific Reports, 2022 - nature.com
Clinical guidelines recommend several risk factors to identify women in early pregnancy at
high risk of developing pregnancy-associated hypertension. However, these variables result …

Maternal age at first cesarean delivery related to adverse pregnancy outcomes in a second cesarean delivery: a multicenter, historical, cross-sectional cohort study

S Bi, L Zhang, J Chen, M Huang, L Huang… - BMC Pregnancy and …, 2021 - Springer
Background To determine the effects of maternal age at first cesarean on maternal
complications and adverse outcomes of pregnancy with the second cesarean. Methods This …