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Child Mortality

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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 35252109
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...
Artificial Intelligence Child Child Mortality Gambia Humans Internet Machine Learning Neural Networks, Computer Pneumonia
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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 31805020
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hosp...
Adolescent Age Factors Child Child Mortality Child, Preschool Developing Countries Female Hospital Mortality Humans Infant Infections Machine Learning Male Prognosis Prospective Studies Rwanda Severity of Illness Index Sex Factors Triage Vital Signs
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Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries.

BMJ open 32801191
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.
Child Child Mortality Cross-Sectional Studies Deep Learning Developing Countries Female Humans Neural Networks, Computer Pregnancy
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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 33441845
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...
Child Child Mortality Child, Preschool Female Hospital Mortality Humans Infant Infant Mortality Intensive Care Units, Pediatric Machine Learning Male Models, Biological Patient Admission Retrospective Studies
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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 35177443
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 Child Mortality Cross-Sectional Studies Deep Learning Ghana Humans Socioeconomic Factors
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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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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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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 39881228
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...
Adult Bangladesh Child Mortality Child, Preschool Female Health Surveys Humans Infant Infant, Newborn Machine Learning Male Risk Factors
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