AIMC Topic: Child, Preschool

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Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

Journal of pediatric surgery Jan 13, 2025
PURPOSE: This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.
Machine Learning Algorithms Retrospective Studies Female Humans Child Predictive Value of Tests Appendicitis Appendectomy Male Severity of Illness Index Adolescent Child, Preschool
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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

Drug design, development and therapy Jan 13, 2025
PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactions related to first-line anti-tuberculosis drugs in pediatric tuberculosis patients. This study aims to develop an automatic machine learning (AutoML)...
Adolescent Humans Tuberculosis Child, Preschool Female Machine Learning Chemical and Drug Induced Liver Injury Risk Factors Child Retrospective Studies Male Antitubercular Agents Infant
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Using supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.

Child abuse & neglect Jan 11, 2025
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Maryland Child Abuse Humans Child Male Supervised Machine Learning Infant Machine Learning International Classification of Diseases Adolescent Female Wounds and Injuries Child, Preschool Infant, Newborn Young Adult
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Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study.

JMIR formative research Jan 10, 2025
BACKGROUND: Origami is a popular activity among preschool children and can be used by therapists as an evaluation tool to assess children's development in clinical settings. It is easy to implement, appealing to children, and time-efficient, requirin...
Age Factors Photography Child Development Male Humans Deep Learning Female Child, Preschool Child
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Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children.

Brain research bulletin Jan 9, 2025
BACKGROUND: Due to the importance and the consequences of anxiety, the goals of the current study are brain mapping, biomarker identification and the use of an assessment method for diagnosis of anxiety during emotional face in preschool children.
Male Amygdala Anxiety Prefrontal Cortex Facial Expression Child, Preschool Fear Magnetic Resonance Imaging Facial Recognition Emotions Brain Mapping Hippocampus Machine Learning Humans Biomarkers Brain Female
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A machine learning model accurately identifies glycogen storage disease Ia patients based on plasma acylcarnitine profiles.

Orphanet journal of rare diseases Jan 9, 2025
BACKGROUND: Glycogen storage disease (GSD) Ia is an ultra-rare inherited disorder of carbohydrate metabolism. Patients often present in the first months of life with fasting hypoketotic hypoglycemia and hepatomegaly. The diagnosis of GSD Ia relies on...
Female Infant, Newborn Male Infant Child, Preschool Carnitine Glycogen Storage Disease Type I Glycogen Storage Disease Humans Machine Learning Biomarkers
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Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

Critical care (London, England) Jan 9, 2025
BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury ...
Male Infant China Adolescent Humans Machine Learning Retrospective Studies Female Extracorporeal Membrane Oxygenation Cohort Studies Child, Preschool Child Brain Injuries
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The impact of preschool children's physical fitness evaluation under self organizing maps neural network.

Scientific reports Jan 9, 2025
To improve the scientific accuracy and precision of children's physical fitness evaluations, this study proposes a model that combines self-organizing maps (SOM) neural networks with cluster analysis. Existing evaluation methods often rely on traditi...
Humans Neural Networks, Computer Female Cluster Analysis Male Physical Fitness Child, Preschool Child ROC Curve
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Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.

Seizure Jan 8, 2025
PURPOSE: Compare the identification of patients with established status epilepticus (ESE) and refractory status epilepticus (RSE) in electronic health records (EHR) using human review versus natural language processing (NLP) assisted review.
Electronic Health Records Female Young Adult Male Infant Adolescent Child, Preschool Child Support Vector Machine Humans Natural Language Processing Machine Learning Status Epilepticus
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Early childhood caries risk prediction using machine learning approaches in Bangladesh.

BMC oral health Jan 8, 2025
BACKGROUND: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifyi...
Mothers Health Behavior Bangladesh Female Risk Factors Humans Adult Machine Learning Male Risk Assessment Infant Child, Preschool Dental Caries
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