AIMC Topic: Infant

Clear Filters Showing 1 to 10 of 978 articles

Explainable deep learning algorithm for distinguishing IVIG-Resistant Kawasaki disease in Shandong peninsula, China.

BMC pediatrics Aug 28, 2025
BACKGROUND: Intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) patients have a heightened risk of coronary artery lesions. We aimed to explore the predictive factors of IVIG resistance of KD from Shandong Peninsula in China, and es...
Humans Algorithms Retrospective Studies Female Child, Preschool Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Drug Resistance Male Infant Deep Learning China
View on PubMed DOI

Young infants with bronchiolitis at low risk of respiratory deterioration in an urban, academic emergency department: prospective cohort study protocol.

BMJ open Aug 26, 2025
INTRODUCTION: Bronchiolitis, a viral lower respiratory tract infection, is the leading cause of hospitalisation for infants, with healthcare utilisation highest among young infants (aged ≤90 days). Clinical models to predict respiratory deterioration...
Prospective Studies Female Infant, Newborn Hospitalization Humans Bronchiolitis Male Infant Emergency Service, Hospital
View on PubMed DOI

Comparing Multiple Imputation Methods to Address Missing Patient Demographics in Immunization Information Systems: Retrospective Cohort Study.

JMIR public health and surveillance Aug 26, 2025
BACKGROUND: Immunization Information Systems (IIS) and surveillance data are essential for public health interventions and programming; however, missing data are often a challenge, potentially introducing bias and impacting the accuracy of vaccine co...
Immunization Information Systems Demography Adolescent Adult Cohort Studies Humans Male Retrospective Studies Child, Preschool Middle Aged Female Child Infant
View on PubMed DOI

Predictive model integrating deep learning and clinical features based on ultrasound imaging data for surgical intervention in intussusception in children younger than 8 months.

BMJ open Aug 22, 2025
OBJECTIVES: The objective of this study was to identify risk factors for enema reduction failure and to establish a combined model that integrates deep learning (DL) features and clinical features for predicting surgical intervention in intussuscepti...
Male Infant Deep Learning China Female Infant, Newborn Risk Factors Ultrasonography Intussusception Enema Humans Prospective Studies Retrospective Studies
View on PubMed DOI

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps...
Computational Biology Apoptosis Cell Death Sepsis Child, Preschool Child Machine Learning Biomarkers Humans Adult Female Male Infant, Newborn Infant Gene Expression Profiling
View on PubMed DOI

Application of machine learning in early childhood development research: a scoping review.

BMJ open Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential...
Machine Learning Infant Child, Preschool Child Child Development Humans
View on PubMed DOI

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

Scientific reports Aug 8, 2025
COVID-19 has posed a significant global health challenge, affecting individuals across all age groups. While extensive research has focused on adults, pediatric patients exhibit distinct clinical characteristics that necessitate specialized predictiv...
Humans Machine Learning COVID-19 Algorithms Retrospective Studies Female SARS-CoV-2 Adolescent Male Child, Preschool Infant Child Severity of Illness Index
View on PubMed DOI

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t...
Mucopolysaccharidoses Child, Preschool Retrospective Studies Child Electronic Health Records Bayes Theorem Humans Male Female Early Diagnosis Machine Learning Infant Young Adult Algorithms Adolescent
View on PubMed DOI

A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.

BMC pediatrics Jul 31, 2025
BACKGROUND: Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particular...
Infant Child, Preschool ROC Curve Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Propensity Score Female Risk Factors Male Humans Risk Assessment Machine Learning Retrospective Studies
View on PubMed DOI

Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Scientific reports Jul 31, 2025
Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting children's physical growth, cognitive development, and overall well-being. This study overcame a key limitation in previous stunting prediction models by ...
Male Infant Growth Disorders Child, Preschool Humans Algorithms Female Ethiopia Machine Learning Risk Factors
View on PubMed DOI
Popular Topics
Recent Journals