AIMC Topic: Infant Mortality

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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 May 18, 2022
BACKGROUND: The Neonatal mortality rate in the United States is 3.8 deaths per 1000 live births, which is comparably higher than other nations.
Humans Artificial Intelligence Infant Death United States Machine Learning Infant Mortality Infant, Newborn Gestational Age Infant
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Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review.

Neonatology Jul 14, 2021
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...
Gestational Age Perinatal Death Infant Child Infant Mortality Pregnancy Female Infant, Newborn Humans Artificial Intelligence Machine Learning
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Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
This study aimed at identifying the factors associated with neonatal mortality. We analyzed the Demographic and Health Survey (DHS) datasets from 10 Sub-Saharan countries. For each survey, we trained machine learning models to identify women who had ...
Surveys and Questionnaires Africa South of the Sahara Infant Mortality Mothers Infant, Newborn Male Infant Humans Machine Learning Female
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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...
Child Hospital Mortality Intensive Care Units, Pediatric Male Infant Child, Preschool Patient Admission Models, Biological Child Mortality Infant Mortality Humans Machine Learning Retrospective Studies Female
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Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Risk Factors Adult Male Risk Assessment Infant Severity of Illness Index Female Infant, Newborn Humans Premature Birth Machine Learning Prospective Studies Prognosis Infant, Premature, Diseases Pregnancy Diagnostic Techniques, Obstetrical and Gynecological Infant Mortality Infant, Small for Gestational Age Gestational Age Predictive Value of Tests Stillbirth Morbidity Probability
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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 Feb 1, 2025
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 ...
Humans Machine Learning India Infant Mortality Female Ensemble Learning Infant, Newborn Boosting Machine Learning Algorithms Infant
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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 Jun 6, 2022
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...
Infant Mortality Humans Child, Preschool Neural Networks, Computer Child Machine Learning Data Mining Brazil Infant
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Postoperative neonatal mortality prediction using superlearning.

The Journal of surgical research Jan 1, 2018
BACKGROUND: The variable risks associated with neonatal surgery present a challenge to accurate mortality prediction. We aimed to apply superlearning, an ensemble machine learning method, to the prediction of 30-day neonatal postoperative mortality.
Humans Machine Learning Infant, Premature Models, Theoretical Infant Mortality Algorithms Surgical Procedures, Operative Female Infant, Newborn Male Infant United States
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