AIMC Topic: Child, Preschool

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Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.

European respiratory review : an official journal of the European Respiratory Society Jan 8, 2025
INTRODUCTION: Numerous studies have characterised trajectories of asthma and allergy in children using machine learning, but with different techniques and mixed findings. The present work aimed to summarise the evidence and critically appraise the me...
Age of Onset Eczema Hypersensitivity Respiratory Sounds Child, Preschool Child Age Factors Predictive Value of Tests Female Risk Factors Asthma Male Disease Progression Diagnosis, Computer-Assisted Adolescent Risk Assessment Infant Humans Machine Learning Prognosis
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Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.

Frontiers in public health Jan 7, 2025
BACKGROUND: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analy...
Mexico Pediatric Obesity Overweight Body Mass Index Adolescent Humans Child, Preschool Machine Learning Child Female Nutrition Surveys Male
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Predictive modeling of consecutive intravenous immunoglobulin treatment resistance in Kawasaki disease: A nationwide study.

Scientific reports Jan 6, 2025
Kawasaki disease (KD) is a leading cause of acquired heart disease in children, often resulting in coronary artery complications such as dilation, aneurysms, and stenosis. While intravenous immunoglobulin (IVIG) is effective in reducing immunologic i...
Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Drug Resistance Humans Machine Learning Republic of Korea Female Male Infant Child, Preschool Child
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Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study.

Acta odontologica Scandinavica Jan 6, 2025
OBJECTIVES: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identif...
Neural Networks, Computer Algorithms Female Male Humans Pilot Projects Child, Preschool Child Dental Caries
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Early detection of autism spectrum disorder: gait deviations and machine learning.

Scientific reports Jan 6, 2025
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder diagnosed by clinicians and experts through questionnaires, observations, and interviews. Current diagnostic practices focus on social and communication impairments, which often emerge l...
Humans Machine Learning Autism Spectrum Disorder Female Male Child, Preschool Child Gait Early Diagnosis
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Developing a simplified measure to predict the risk of autism spectrum disorders: Abbreviating the M-CHAT-R using a machine learning approach in China.

Psychiatry research Jan 3, 2025
BACKGROUND: Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited in efficacy.
Humans Machine Learning Autism Spectrum Disorder Female Risk Factors Checklist Male Infant China Child, Preschool
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Psychotropic medications: a descriptive study of prescription trends in Tabriz, Iran, 2021-2022.

BMC psychiatry Jan 3, 2025
INTRODUCTION: Mental disorders, such as anxiety and depression, significantly impacted global populations in 2019 and 2020, with COVID-19 causing a surge in prevalence. They affect 13.4% of the people worldwide, and 21% of Iranians have experienced t...
Middle Aged Adolescent Humans Psychotropic Drugs Iran COVID-19 Aged Child, Preschool Anti-Anxiety Agents Practice Patterns, Physicians' Mental Disorders Young Adult Drug Prescriptions Child Adult Female Antidepressive Agents Male
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Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma.

Nature communications Jan 2, 2025
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness...
Multiparametric Magnetic Resonance Imaging Treatment Outcome Glioma Neoplasm Grading Progression-Free Survival Brain Neoplasms Male Infant Humans Transcriptome Machine Learning Adolescent Prognosis Child, Preschool Female Child Immunotherapy
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Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

Kardiologia polska Jan 2, 2025
BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimembranous ventricular septal defects (pmVSD). However, there is currently a lack of a convenient tool for predicting postoperative arrhythmia.
Humans Machine Learning Retrospective Studies Child, Preschool Child Female Arrhythmias, Cardiac Male Cardiac Catheterization Postoperative Complications Heart Septal Defects, Ventricular Infant
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Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

The Journal of surgical research Dec 31, 2024
INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers. Predicting trauma volume could improve resource management and preparedness, particularly if daily forecasts are achievable. The aim of the study is...
Wounds and Injuries Trauma Centers Wounds, Gunshot Adolescent Child, Preschool Child United States Retrospective Studies Female Male Infant Humans Machine Learning Forecasting
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