[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 …

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 …

Predictive Decision Support Analytic Model for Intelligent Obstetric Risks Management

UG Inyang, IJ Eyoh, CO Nwokoro, FB Osang - International Conference on …, 2021 - Springer
Maternal complications (MC) frequently occur during pregnancies and significantly influence
pregnancy outcome (PO). Screening test results, frequency and database query, and other …

Predictive Model for Early Detection of Mother's Mode of Delivery with Feature Selection

EA Kolog, OS Balogun, RO Adjei… - … Distinctive Value in …, 2022 - taylorfrancis.com
At childbirth, a decision needs to be taken regarding the most suitable mode of delivery for
mothers. Often, certain historical factors account for this decision, some of which are based …

Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study

J Guedalia, Y Sompolinsky… - … Journal of Obstetrics …, 2021 - Wiley Online Library
Objective To create a personalised machine learning model for prediction of severe adverse
neonatal outcomes (SANO) during the second stage of labour. Design Retrospective …

Classification of delivery type of pregnant women using support vector machine

MY Chelsea, PHP Rosa - E3S Web of Conferences, 2024 - e3s-conferences.org
One of the ways to reduce maternal mortality is by diagnosing childbirth to find out whether a
mother will give birth normally or not so that appropriate treatment can be done. This study …

Comparation analysis of naïve bayes and decision tree C4. 5 for caesarean section prediction

IGA Suciningsih, MA Hidayat… - Journal of Soft …, 2021 - shmpublisher.com
The development of technology can be used to facilitate many matters. One of them is
childbirth in the medical fields. Maternal mortality rate (MMR) is the number of maternal …

Analysis of various Data Mining Techniques Techniques for Pregnancy related issues and Postnatal health of infant using Machine Learning and Fuzzy Logic

DK Tayal, K Meena, S Kumar - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Data Mining is a technique of using available information of an entity to extract useful
patterns from the large database which can be implemented in various sectors. It is an …

Penerapan Feature Weighting Optimized Pada Naïve Bayes Untuk Prediksi Proses Persalinan

H Amalia, AB Pohan… - Jurnal PILAR Nusa …, 2019 - ejournal.nusamandiri.ac.id
Birth of a baby is something that is very desirable for every married couple. All parties expect
safety for mothers and babies who have just been born. Medical personnel make various …

A Study on the Factors Affecting Infants' Health-Related Issues and Child Mortality using Machine Learning

I Verma, SK Prasad - … On Smart Technologies For Smart Nation …, 2023 - ieeexplore.ieee.org
Child mortality and infant health-related issues remain significant challenges worldwide.
Understanding the factors that influence these outcomes is crucial for implementing effective …