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Infant Mortality

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Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review.

Neonatology 34261070
INTRODUCTION: Approximately 7,000 newborns die every day, accounting for almost half of child deaths under 5 years of age. Deciphering which neonates are at increased risk for mortality can have an important global impact. As such, integrating high c...
Artificial Intelligence Child Female Gestational Age Humans Infant Infant Mortality Infant, Newborn Machine Learning Perinatal Death Pregnancy
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NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death.

Computers in biology and medicine 35635905
BACKGROUND: The Neonatal mortality rate in the United States is 3.8 deaths per 1000 live births, which is comparably higher than other nations.
Artificial Intelligence Gestational Age Humans Infant Infant Death Infant Mortality Infant, Newborn Machine Learning United States
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Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.

Studies in health technology and informatics 35673122
Infant mortality is characterized by the death of young children under the age of one, and it is an issue affecting millions of children in the world. The objective of this article is to employ concepts of knowledge discovery in databases, specifical...
Brazil Child Child, Preschool Data Mining Humans Infant Infant Mortality Machine Learning Neural Networks, Computer
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Computational Approaches for Predicting Preterm Birth and Newborn Outcomes.

Clinics in perinatology 38705652
Preterm birth (PTB) and its associated morbidities are a leading cause of infant mortality and morbidity. Accurate predictive models and a better biological understanding of PTB-associated morbidities are critical in reducing their adverse effects. I...
Artificial Intelligence Electronic Health Records Female Humans Infant Mortality Infant, Newborn Pregnancy Premature Birth Social Determinants of Health
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Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning.

Scientific reports 38734835
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them int...
Birth Weight Cerebral Hemorrhage Cerebral Intraventricular Hemorrhage Female Gestational Age Humans Infant Infant Mortality Infant, Newborn Infant, Premature Infant, Premature, Diseases Infant, Very Low Birth Weight Machine Learning Male Prognosis Retrospective Studies Taiwan
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Exploring the determinants of under-five mortality and morbidity from infectious diseases in Cambodia-a traditional and machine learning approach.

Scientific reports 39191837
Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseases among children over the last decades. However the determinants of child mortality and morbidity in Cambodia is not well understood, and no recent a...
Adult Cambodia Child Mortality Child, Preschool Communicable Diseases Female Humans Infant Infant Mortality Infant, Newborn Machine Learning Male Morbidity Risk Factors Socioeconomic Factors
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Geographic inequities in neonatal survival in Nigeria: a cross-sectional evidence from spatial and artificial neural network analyses.

Journal of biosocial science 39297189
This study was conducted to provide empirical evidence of geographical variations of neonatal mortality and its associated social determinants with a view to improving neonatal survival at the subnational level in Nigeria. With a combination of spati...
Adult Birth Intervals Cluster Analysis Cross-Sectional Studies Female Geography Health Status Disparities Humans Infant Infant Mortality Infant, Newborn Male Maternal Age Neural Networks, Computer Nigeria Socioeconomic Factors Spatial Analysis
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one 40036282
BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal ...
Algorithms Bangladesh Child Mortality Child, Preschool Female Forecasting Humans Infant Infant Mortality Infant, Newborn Machine Learning Maternal Mortality Neural Networks, Computer Sustainable Development
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one 39919148
BACKGROUND: Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Rid...
Bangladesh Bayes Theorem Child Mortality Child, Preschool Female Forecasting Humans Infant Infant Mortality Infant, Newborn Linear Models Machine Learning Male
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Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

Birth defects research 39917850
BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health and well-being of a population. Accurate prediction of infant mortality is crucial, as it enables healthcare providers to identify at-risk populations ...
Boosting Machine Learning Algorithms Ensemble Learning Female Humans India Infant Infant Mortality Infant, Newborn Machine Learning
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