[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 …
[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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
Clinical guidelines recommend several risk factors to identify women in early pregnancy at
high risk of developing pregnancy-associated hypertension. However, these variables result …
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 …
complications and adverse outcomes of pregnancy with the second cesarean. Methods This …