AIMC Topic: Infant, Newborn

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Predicting preterm birth using machine learning methods.

Scientific reports Feb 16, 2025
Preterm birth is a significant public health concern, given its correlation with neonatal mortality and morbidity. The aetiology of preterm birth is complex and multifactorial. The objective of this study was to develop and compare machine learning m...
Female Infant, Newborn Premature Birth Adult Logistic Models Support Vector Machine Decision Trees Humans Machine Learning Algorithms Pregnancy
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Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda.

BMC medical informatics and decision making Feb 12, 2025
BACKGROUND: Despite substantial progress in maternal and neonatal health, Rwanda's mortality rates remain high, necessitating innovative approaches to meet health related Sustainable Development Goals (SDGs). By leveraging data collected from Electro...
Pregnancy Female Infant, Newborn Young Adult Machine Learning Retrospective Studies Electronic Health Records Pregnancy Complications Adult Risk Assessment Rwanda Pregnancy Outcome Humans
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Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China.

BMC pregnancy and childbirth Feb 11, 2025
BACKGROUND: Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed to develop machine learning approaches to enhance the prediction of fetal macro...
Humans Machine Learning Retrospective Studies Gestational Age Fetal Macrosomia Gestational Weight Gain Adult Male China ROC Curve Pregnancy Female Infant, Newborn
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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.

BMC medical informatics and decision making Feb 7, 2025
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing fr...
Ethiopia Infant, Low Birth Weight Continuity of Patient Care Midwifery Young Adult Adult Prenatal Care Humans Machine Learning Pregnancy Female Infant, Newborn
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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...
Child, Preschool Female Infant Mortality Infant, Newborn Humans Bayes Theorem Linear Models Male Machine Learning Child Mortality Bangladesh Infant Forecasting
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Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 6, 2025
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among...
Triage Patient Transfer Early Warning Score Risk Assessment Machine Learning Infant Humans Female Respiration, Artificial Infant, Newborn Child, Preschool Adolescent Male Child Hospital Mortality Intensive Care Units, Pediatric
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Harmonizing flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization.

Medical image analysis Feb 2, 2025
Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisition results in heterogeneous images across different sites and devices, which adversely affects the generalization of deep neural networks. To alleviat...
Adult Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Humans Neural Networks, Computer Brain Infant, Newborn
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.

BMC pregnancy and childbirth Jan 30, 2025
BACKGROUND: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a l...
Fetal Growth Retardation Perinatal Mortality Risk Assessment Models, Statistical Stillbirth Female Humans Infant, Newborn Artificial Intelligence Risk Factors Prospective Studies Adult Pregnancy
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Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization.

Computers in biology and medicine Jan 29, 2025
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and evaluating...
Infant, Newborn Parturition Thermography Resuscitation Humans Artificial Intelligence Algorithms Female
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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...
Female Infant, Newborn Risk Factors Humans Adult Child Mortality Male Machine Learning Bangladesh Infant Child, Preschool Health Surveys
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