AIMC Topic: Child 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...
Bangladesh Humans Machine Learning Algorithms Female Infant, Newborn Child, Preschool Adult Health Surveys Male Child Mortality Infant Infant Mortality
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Undesired nexus poor health status of child under-five: A case study of Pakistan.

PloS one May 30, 2025
Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, child mortality remains a serious problem despite efforts to reduce it. One factor that may be associa...
Female Infant, Newborn Cross-Sectional Studies Male Humans Pregnancy Pakistan Infant Child Mortality Child, Preschool Nutritional Status Health Status Pregnancy, Unwanted Child Health
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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 Infant, Newborn Infant Child, Preschool Humans Machine Learning Neural Networks, Computer Algorithms 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...
Infant Mortality Linear Models Bangladesh Child, Preschool Bayes Theorem Child Mortality Humans Machine Learning Forecasting Female Infant, Newborn Male Infant
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.

BMC public health Jan 29, 2025
BACKGROUND: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDG...
Humans Adult Male Infant Child, Preschool Machine Learning Female Infant, Newborn Risk Factors Health Surveys Child Mortality Bangladesh
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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...
Infant Mortality Humans Cambodia Machine Learning Child, Preschool Socioeconomic Factors Morbidity Child Mortality Adult Male Infant Communicable Diseases Female Infant, Newborn Risk Factors
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Deploying Machine Learning Models Using Progressive Web Applications: Implementation Using a Neural Network Prediction Model for Pneumonia Related Child Mortality in The Gambia.

Frontiers in public health Feb 18, 2022
BACKGROUND: Translating research outputs into practical tools for medical practitioners is a neglected area and could have a substantial impact. One of the barriers to implementing artificial intelligence (AI) and machine learning (ML) applications i...
Child Mortality Gambia Humans Machine Learning Neural Networks, Computer Child Artificial Intelligence Pneumonia Internet
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Use of a deep learning and random forest approach to track changes in the predictive nature of socioeconomic drivers of under-5 mortality rates in sub-Saharan Africa.

BMJ open Feb 17, 2022
OBJECTIVES: We used machine learning algorithms to track how the ranks of importance and the survival outcome of four socioeconomic determinants (place of residence, mother's level of education, wealth index and sex of the child) of under-5 mortality...
Child Mortality Ghana Cross-Sectional Studies Deep Learning Humans Child Socioeconomic Factors
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Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.

Scientific reports Jan 13, 2021
The aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hosp...
Infant Mortality Patient Admission Humans Machine Learning Retrospective Studies Male Hospital Mortality Female Infant Intensive Care Units, Pediatric Child, Preschool Models, Biological Child Child Mortality
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Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries.

BMJ open Aug 16, 2020
OBJECTIVES: To explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.
Humans Child Neural Networks, Computer Developing Countries Child Mortality Pregnancy Female Cross-Sectional Studies Deep Learning
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