AIMC Topic: Infant Mortality

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Mortality risk associated with clinical signs of possible serious bacterial infection (PSBI) in young infants in Africa and Asia: protocol for a secondary pooled analysis.

BMJ open Jun 24, 2025
INTRODUCTION: The WHO's Integrated Management of Childhood Illness (IMCI) in young infants <2 months of age includes the identification and management of signs of possible serious bacterial infection (PSBI). However, equal importance is given to all ...
Asia Female Infant, Newborn Infant Risk Factors Africa Humans Bacterial Infections Research Design Infant Mortality
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Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.

PloS one Jun 11, 2025
BACKGROUND: Under-5 mortality in Bangladesh remains a critical indicator of public health and socio-economic development. Traditional methods often struggle to capture the complex, non-linear relationships influencing under-5 mortality. This study le...
Humans Health Surveys Adult Child Mortality Male Infant Mortality Infant Machine Learning Bangladesh Child, Preschool Algorithms Female Infant, Newborn
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one Mar 4, 2025
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 ...
Maternal Mortality Child Mortality Infant Mortality Sustainable Development Bangladesh Humans Neural Networks, Computer Machine Learning Algorithms Infant, Newborn Infant Child, Preschool Forecasting Female
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one Feb 7, 2025
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 Female Infant, Newborn Male Infant Child Mortality Infant Mortality Linear Models Child, Preschool Bayes Theorem Humans Machine Learning Forecasting
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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Retrospective Studies Female Infant, Newborn Male Humans Machine Learning Algorithms Infant, Premature Infant, Premature, Diseases Enterocolitis, Necrotizing Infant, Very Low Birth Weight Bronchopulmonary Dysplasia ROC Curve Morbidity Infant Mortality
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Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants.

Pediatrics and neonatology Sep 25, 2024
BACKGROUND: Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated wi...
Humans Machine Learning Retrospective Studies Hospital Mortality Infant Mortality Lactic Acid Infant, Premature Infant, Very Low Birth Weight Republic of Korea Female Infant, Newborn Male
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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 Sep 19, 2024
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...
Humans Neural Networks, Computer Female Infant, Newborn Male Infant Nigeria Adult Cross-Sectional Studies Maternal Age Socioeconomic Factors Health Status Disparities Cluster Analysis Geography Infant Mortality Birth Intervals Spatial Analysis
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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 Aug 27, 2024
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...
Communicable Diseases Morbidity Female Child Mortality Male Infant, Newborn Infant Mortality Infant Risk Factors Cambodia Child, Preschool Adult Humans Socioeconomic Factors Machine Learning
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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 May 12, 2024
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...
Humans Retrospective Studies Infant Mortality Cerebral Intraventricular Hemorrhage Infant Machine Learning Infant, Very Low Birth Weight Infant, Premature Female Prognosis Taiwan Gestational Age Infant, Newborn Cerebral Hemorrhage Infant, Premature, Diseases Male Birth Weight
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Computational Approaches for Predicting Preterm Birth and Newborn Outcomes.

Clinics in perinatology Mar 8, 2024
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...
Social Determinants of Health Humans Female Artificial Intelligence Infant, Newborn Electronic Health Records Premature Birth Pregnancy Infant Mortality
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