[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 …
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 …
Predictive Decision Support Analytic Model for Intelligent Obstetric Risks Management
Maternal complications (MC) frequently occur during pregnancies and significantly influence
pregnancy outcome (PO). Screening test results, frequency and database query, and other …
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 …
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 …
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 …
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 …
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 …
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 …
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
Child mortality and infant health-related issues remain significant challenges worldwide.
Understanding the factors that influence these outcomes is crucial for implementing effective …
Understanding the factors that influence these outcomes is crucial for implementing effective …