AIMC Topic: Child, Preschool

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Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning.

Pediatric pulmonology Jul 29, 2024
RATIONALE: More targeted management of severe acute pediatric asthma could improve clinical outcomes.
Acute Disease Child, Preschool Child Cluster Analysis Unsupervised Machine Learning Hospitalization Asthma Humans Male Phenotype Severity of Illness Index Retrospective Studies Adolescent Female
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Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa.

Journal of epidemiology and global health Jul 29, 2024
BACKGROUND: The second most common cause of death for children under five is diarrhea. Early Predicting diarrhea disease and identify its determinants (factors) using an advanced machine learning model is the most effective way to save the lives of c...
Infant, Newborn Child, Preschool Humans Risk Factors Machine Learning Diarrhea Male Algorithms Logistic Models Infant Female Africa, Eastern
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Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease.

BMJ health & care informatics Jul 29, 2024
BACKGROUND: Despite the increasing availability of electronic healthcare record (EHR) data and wide availability of plug-and-play machine learning (ML) Application Programming Interfaces, the adoption of data-driven decision-making within routine hos...
Child Age Factors Cluster Analysis Unsupervised Machine Learning Male Humans Infant Electronic Health Records Adolescent Female Child, Preschool Infant, Newborn
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An artificial intelligence platform for the screening and managing of strabismus.

Eye (London, England) Jul 27, 2024
OBJECTIVES: Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) ...
Young Adult Adult Sensitivity and Specificity Male Adolescent Child, Preschool Child Middle Aged Infant Humans Artificial Intelligence Female Strabismus Vision, Binocular Vision Screening
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Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors.

Environmental monitoring and assessment Jul 24, 2024
This study uses artificial neural networks (ANNs) to examine the intricate relationship between air pollutants, meteorological factors, and respiratory disorders. The study investigates the correlation between hospital admissions for respiratory dise...
Respiratory Tract Diseases Sulfur Dioxide Meteorological Concepts Humans Adolescent Child, Preschool Child Environmental Monitoring Air Pollutants Air Pollution Particulate Matter Respiratory Tract Infections Neural Networks, Computer Young Adult Female Adult Hospitalization Male Aged Middle Aged
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Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.

BMJ paediatrics open Jul 22, 2024
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a...
Machine Learning Retrospective Studies Intensive Care Units Female Humans Hospital Mortality ROC Curve Infant, Newborn Bangladesh Male Infant Child, Preschool
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Pediatric cardiac surgery: machine learning models for postoperative complication prediction.

Journal of anesthesia Jul 19, 2024
PURPOSE: Managing children undergoing cardiac surgery with cardiopulmonary bypass (CPB) presents a significant challenge for anesthesiologists. Machine Learning (ML)-assisted tools have the potential to enhance the recognition of patients at risk of ...
Humans Machine Learning Support Vector Machine Area Under Curve Cardiac Surgical Procedures Infant Cardiopulmonary Bypass Child, Preschool Child Logistic Models Female Male Risk Assessment Postoperative Complications
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A preliminary prediction model of pediatric Mycoplasma pneumoniae pneumonia based on routine blood parameters by using machine learning method.

BMC infectious diseases Jul 18, 2024
BACKGROUND: The prevalence and severity of pediatric Mycoplasma pneumoniae pneumonia (MPP) poses a significant threat to the health and lives of children. In this study, we aim to systematically evaluate the value of routine blood parameters in predi...
Mycoplasma pneumoniae Male Algorithms Child, Preschool Female Humans Child Sensitivity and Specificity Pneumonia, Mycoplasma Machine Learning
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Diagnostic performance of an AI algorithm for the detection of appendicular bone fractures in pediatric patients.

European journal of radiology Jul 17, 2024
PURPOSE: To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previously trained using both adult and pediatric patients, for the detection of acute appendicular fractures in the pediatric population on conventional X-...
Sensitivity and Specificity Male Infant Artificial Intelligence Algorithms Humans Adolescent Child, Preschool Fractures, Bone Retrospective Studies Child Female Radiography
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Accelerated cardiac magnetic resonance imaging using deep learning for volumetric assessment in children.

Pediatric radiology Jul 17, 2024
BACKGROUND: Ventricular volumetry using a short-axis stack of two-dimensional (D) cine balanced steady-state free precession (bSSFP) sequences is crucial in any cardiac magnetic resonance imaging (MRI) examination. This task becomes particularly chal...
Humans Retrospective Studies Female Child, Preschool Male Child Infant Heart Ventricles Deep Learning Image Interpretation, Computer-Assisted Adolescent Magnetic Resonance Imaging, Cine
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