AIMC Topic: Child, Preschool

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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.

Parasites & vectors Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Adolescent Child, Preschool Child Feces Data Mining Gastroenteritis Jordan Decision Trees Amebiasis Adult Male Middle Aged Infant Electronic Health Records Female Humans Aged Machine Learning Young Adult Algorithms
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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...
Health Surveys Child Mortality Bangladesh Risk Factors Adult Humans Male Machine Learning Infant Female Child, Preschool Infant, Newborn
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Development and validation of machine learning-based prediction model for central venous access device-related thrombosis in children.

Thrombosis research Jan 28, 2025
BACKGROUND: Identifying independent risk factors and implementing high-quality assessment tools for early detection of patients at high risk of central venous access device (CVAD)-related thrombosis (CRT) plays a critical role in delivering timely pr...
Female Central Venous Catheters Risk Factors Adolescent Male Thrombosis Child, Preschool Humans Infant Child Machine Learning Catheterization, Central Venous Retrospective Studies
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A pediatric emergency prediction model using natural language process in the pediatric emergency department.

Scientific reports Jan 28, 2025
This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012-2021...
Natural Language Processing Emergency Service, Hospital Pediatrics Infant Deep Learning Child, Preschool Child Humans Republic of Korea Female Male Machine Learning Electronic Health Records
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Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Irish journal of medical science Jan 27, 2025
BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.
Female Male Infant Child, Preschool Humans Machine Learning Retrospective Studies Hydronephrosis Ureteral Obstruction Child ROC Curve Logistic Models Kidney Pelvis
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Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

PloS one Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
Health Services Needs and Demand Machine Learning Forecasting Infant Pilot Projects Emergency Service, Hospital Humans Seasons Respiratory Syncytial Virus Infections England Child, Preschool
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Plasma IL-17A is increased in patients with critical MIS-C and associated to in-hospital mortality.

Frontiers in immunology Jan 27, 2025
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19 complication with multiple phenotypes.
ROC Curve Infant Adolescent Female Child, Preschool Systemic Inflammatory Response Syndrome Humans Interleukin-17 Infant, Newborn Child COVID-19 Intensive Care Units, Pediatric SARS-CoV-2 Hospital Mortality Prospective Studies Oxidative Stress Male Biomarkers
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Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.

European radiology Jan 25, 2025
OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluate...
Humans Neural Networks, Computer Female Reproducibility of Results Adolescent Child, Preschool Child Radiography, Panoramic Age Determination by Teeth Young Adult Male Infant Deep Learning
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Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine).

Scientific reports Jan 24, 2025
The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rates, only patients with genuine medical needs are admitted. However, machine learning (ML) models to predict COVID-19 hospitalization in Asian children ...
Humans Machine Learning COVID-19 Child Malaysia Hospitalization Male Infant Child, Preschool Algorithms Female Infant, Newborn SARS-CoV-2
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Assessment of glymphatic function and white matter integrity in children with autism using multi-parametric MRI and machine learning.

European radiology Jan 23, 2025
OBJECTIVES: To assess glymphatic function and white matter integrity in children with autism spectrum disorder (ASD) using multi-parametric MRI, combined with machine learning to evaluate ASD detection performance.
Glymphatic System Child Magnetic Resonance Imaging White Matter Diffusion Tensor Imaging Humans Machine Learning Female Male Autism Spectrum Disorder Child, Preschool Retrospective Studies
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