AIMC Topic: Child, Preschool

Clear Filters Showing 151 to 160 of 1287 articles

An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Scientific reports Feb 15, 2025
Auscultation is a method that involves listening to sounds from the patient's body, mainly using a stethoscope, to diagnose diseases. The stethoscope allows for non-invasive, real-time diagnosis, and it is ideal for diagnosing respiratory diseases an...
Respiratory Sounds Stethoscopes Humans Infant Prospective Studies Auscultation Deep Learning Republic of Korea Child, Preschool Female Child Male
View on PubMed DOI

Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 11, 2025
AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised by substantial molecular heterogeneity across its subgroups. Accurate classification is pivotal for personalised treatment strategies and prognostic as...
Support Vector Machine Cerebellar Neoplasms Medulloblastoma Male Gene Expression Profiling Child, Preschool Humans Child Machine Learning Female
View on PubMed DOI

Predictive modeling of methadone poisoning outcomes in children ≤ 5 years: utilizing machine learning and the National Poison Data System for improved clinical decision-making.

European journal of pediatrics Feb 11, 2025
UNLABELLED: The escalating therapeutic use of methadone has coincided with an increase in accidental ingestions, particularly among children ≤ 5 years. This study utilized machine learning (ML) methodologies on data from the National Poison Data Syst...
Infant Child, Preschool Methadone Poison Control Centers Retrospective Studies Clinical Decision-Making Female Male Humans Machine Learning
View on PubMed DOI

Feature gene selection and functional validation of SH3KBP1 in infantile hemangioma using machine learning.

Biochemical and biophysical research communications Feb 10, 2025
BACKGROUND: Infantile hemangioma (IH) is a prevalent vascular tumor in infancy with a complex pathogenesis that remains unclear. This study aimed to investigate the underlying mechanisms of IH using comprehensive bioinformatics analyses and in vitro ...
Female Male Infant Gene Expression Profiling Child, Preschool Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Humans Machine Learning MicroRNAs Adaptor Proteins, Signal Transducing Hemangioma
View on PubMed DOI

Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study.

BMC infectious diseases Feb 10, 2025
BACKGROUND: Salmonella typhimurium infection is a considerable global health concern, particularly in children, where it often leads to persistent diarrhea. This condition can result in severe health complications including malnutrition and cognitive...
Salmonella typhimurium Enteritis Early Diagnosis Propensity Score Child, Preschool Child Diarrhea Nomograms Salmonella Infections Humans Machine Learning Retrospective Studies Female Risk Factors Male Infant Case-Control Studies
View on PubMed DOI

SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Humans Female Male Diagnosis, Computer-Assisted Electrocardiography Signal Processing, Computer-Assisted Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Deep Learning Adolescent Child, Preschool Child
View on PubMed DOI

Ultrasonic-Based Radiomics Signature With Machine Learning for Differentiating Prognostic Subsets of Pediatric Peripheral Neuroblastic Tumors: A Retrospective Study.

Ultrasound in medicine & biology Feb 8, 2025
OBJECTIVE: To construct and select a better model based on ultrasonic-based radiomics features and clinical characteristics for prognostic subsets of pediatric neuroblastic tumors.
Retrospective Studies Female Radiomics Male Infant Humans Machine Learning Prognosis Child, Preschool Child Ultrasonography Neuroblastoma
View on PubMed DOI

Factors associated with underweight, overweight, and obesity in Chinese children aged 3-14 years using ensemble learning algorithms.

Journal of global health Feb 7, 2025
BACKGROUND: Factors underlying the development of childhood underweight, overweight, and obesity are not fully understood. Traditional models have drawbacks in handling large-scale, high-dimensional, and nonlinear data. In this study, we aimed to ide...
Body Mass Index Risk Factors Humans Male East Asian People Machine Learning China Thinness Algorithms Adolescent Child, Preschool Ensemble Learning Female Child Pediatric Obesity Overweight
View on PubMed DOI

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...
Bayes Theorem Infant, Newborn Humans Bangladesh Child Mortality Male Machine Learning Infant Mortality Infant Forecasting Linear Models Child, Preschool Female
View on PubMed DOI

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...
Patient Transfer Early Warning Score Child Hospital Mortality Intensive Care Units, Pediatric Triage Risk Assessment Humans Infant Machine Learning Respiration, Artificial Female Adolescent Infant, Newborn Child, Preschool Male
View on PubMed DOI
Popular Topics
Recent Journals