AIMC Topic: Child, Preschool
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Cardiac patients' surgery outcome and associated factors in Ethiopia: application of machine learning.
BMC pediatrics
Jun 18, 2024
INTRODUCTION: Cardiovascular diseases are a class of heart and blood vessel-related illnesses. In Sub-Saharan Africa, including Ethiopia, preventable heart disease continues to be a significant factor, contrasting with its presence in developed natio...
Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring.
Scientific reports
Jun 18, 2024
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and postnatal factors. This study uses machine learning and population data to evaluate the association between prepregnancy or perinatal risk factors an...
Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy.
Archives of toxicology
Jun 16, 2024
Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises concerns among individuals. This study aims to establish an automated machine learning (autoML) model for forecasting the risk of abnormal increase o...
Predicting Dental General Anesthesia Use among Children with Behavioral Health Conditions.
JDR clinical and translational research
Jun 14, 2024
OBJECTIVES: To evaluate how different data sources affect the performance of machine learning algorithms that predict dental general anesthesia use among children with behavioral health conditions.
RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images.
Journal of imaging informatics in medicine
Jun 14, 2024
Retinal diseases stand as a primary cause of childhood blindness. Analyzing the progression of these diseases requires close attention to lesion morphology and spatial information. Standard image registration methods fail to accurately reconstruct pe...
A real-world pharmacovigilance study on cardiovascular adverse events of tisagenlecleucel using machine learning approach.
Scientific reports
Jun 13, 2024
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients with hematological malignancies. However, some concerns remain that they may cause serious cardiovascular adverse events (AEs), for which data are scar...
Prediction Models for Intravenous Immunoglobulin Non-Responders of Kawasaki Disease Using Machine Learning.
Clinical drug investigation
Jun 13, 2024
BACKGROUND AND OBJECTIVE: Intravenous immunoglobulin (IVIG) is a prominent therapeutic agent for Kawasaki disease (KD) that significantly reduces the incidence of coronary artery anomalies. Various methodologies, including machine learning, have been...
The Impact of Botulinum Toxin Combined with Robot-Assisted Gait Training on Spasticity and Gross Motor Function on Children with Spastic Cerebral Palsy.
Developmental neurorehabilitation
Jun 13, 2024
OBJECTIVE: To evaluate the impact of combining botulinum toxin-A (BoNT-A) injection with robot-assisted gait training (RAGT) on lower limb spasticity and motor function in children with cerebral palsy.
Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age.
International journal of clinical pharmacy
Jun 11, 2024
BACKGROUND: Vancomycin trough concentration is closely associated with clinical efficacy and toxicity. Predicting vancomycin trough concentrations in pediatric patients is challenging due to significant inter-individual variability and rapid physiolo...
Prediction of sustained opioid use in children and adolescents using machine learning.
British journal of anaesthesia
Jun 10, 2024
BACKGROUND: Opioid misuse in the paediatric population is understudied. This study aimed to develop a machine learning classifier to differentiate between occasional and sustained opioid users among children and adolescents in outpatient settings.
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