Prediction of cesarean childbirth using ensemble machine learning methods
Cesarean section around the world is increasing at an alarming rate. Cesarean section, on
one hand, may introduce different short-term and long-term complications for mother; on …
one hand, may introduce different short-term and long-term complications for mother; on …
[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 emergency Cesarean Section using machine learning methods: Development and External Validation of a nationwide Multicenter dataset in …
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 …
A hybrid boosting ensemble model for predicting maternal mortality and sustaining reproductive
IK Nti, B Owusu-Boadu - Smart Health, 2022 - Elsevier
A successful pregnancy is a contingent upon a complex network of interdependent
biological adaptations, including maternal immune responses and hormonal balance …
biological adaptations, including maternal immune responses and hormonal balance …
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 …
Analysis of birth data using ensemble modeling techniques
Machine learning and data mining are being used in different fields like data analysis,
prediction, image processing, etc., and particularly in healthcare. Over the past decade …
prediction, image processing, etc., and particularly in healthcare. Over the past decade …
[Retracted] A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification
A Javeed, L Ali, A Mohammed Seid… - Computational …, 2022 - Wiley Online Library
Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is
rapidly rising around the globe, although CS has serious complications such as pregnancy …
rapidly rising around the globe, although CS has serious complications such as pregnancy …
[PDF][PDF] Automated diagnosis and cause analysis of cesarean section using machine learning techniques
Machine learning techniques provide learning mechanism that can be used to induce
knowledge from data. A few studies exist on the use of machine learning techniques for …
knowledge from data. A few studies exist on the use of machine learning techniques for …
[HTML][HTML] Using machine learning to predict complications in pregnancy: a systematic review
Introduction: Artificial intelligence is widely used in medical field, and machine learning has
been increasingly used in health care, prediction, and diagnosis and as a method of …
been increasingly used in health care, prediction, and diagnosis and as a method of …
[PDF][PDF] Optimized machine learning classifier for early prediction of fetal abnormalities
R Chinnaiyan, S Alex - International Journal of Computational …, 2021 - mukpublications.com
This research paper investigates the machine learning classifiers Random Forest, Naïve
Bayes and Support Vector Machine for the better analysis and early prediction of fetal …
Bayes and Support Vector Machine for the better analysis and early prediction of fetal …