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Child, Preschool

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An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Young Adult Adult Male Middle Aged Risk Assessment Humans Machine Learning Algorithms Female Aged Predictive Value of Tests Graft Rejection Myocardium Heart Failure Heart Transplantation Pathology, Molecular Adolescent Cohort Studies Child, Preschool Child ROC Curve
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Automatic real-time gait event detection in children using deep neural networks.

PloS one Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
Gait Cerebral Palsy Nervous System Diseases Developmental Disabilities Foot Adult Adolescent Humans Child, Preschool Biomechanical Phenomena Neural Networks, Computer Male Child Algorithms Female Young Adult
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Prediction of mortality following pediatric heart transplant using machine learning algorithms.

Pediatric transplantation Jan 29, 2019
BACKGROUND: Optimizing transplant candidates' priority for donor organs depends on the accurate assessment of post-transplant outcomes. Due to the complexity of transplantation and the wide range of possible serious complications, recipient outcomes ...
Female Male Infant Adolescent Child, Preschool Registries Heart Failure Pediatrics Child Regression Analysis Area Under Curve Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Calibration Heart Transplantation Multivariate Analysis Mortality
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Wearable Electronic Devices Child, Preschool Child ROC Curve Logistic Models Affect Psychopathology Psychology, Child Models, Statistical Signal Processing, Computer-Assisted Supervised Machine Learning Female Sensitivity and Specificity Male Anxiety Depression Humans
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Longitudinal Studies Models, Statistical Blood Pressure Heart Rate Optical Imaging Male Infant Adolescent Child, Preschool Child Shock, Cardiogenic Thermometry Humans Machine Learning
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Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

Behavioural brain research Jan 11, 2019
BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various nonlinear EEG analysis methods were limited to distinguish only children with ASD from those normally developed without approaching their autistic fea...
Female Sensitivity and Specificity Male Child, Preschool Child Electroencephalography Humans Neural Networks, Computer Autism Spectrum Disorder Signal Processing, Computer-Assisted Autistic Disorder Behavior
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Imaging, Three-Dimensional Magnetic Resonance Imaging Robotics Electroencephalography Retrospective Studies Humans Stereotaxic Techniques Brain Waves Optical Devices Female Brain Drug Resistant Epilepsy Neuronavigation Male Electrodes, Implanted Tomography Scanners, X-Ray Computed Child, Preschool Child
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Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

JAMA network open Jan 4, 2019
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Predictive Value of Tests Triage Emergency Service, Hospital Critical Care Quality Improvement Critical Care Outcomes Models, Educational Child, Hospitalized Male Adolescent Child, Preschool Humans Child Machine Learning United States Prognosis Female Hospitalization
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The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining.

International journal of medical informatics Dec 27, 2018
BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be...
Heart Diseases Child, Preschool Humans Child Rheumatic Fever Algorithms Decision Trees Female Bayes Theorem Male Data Mining Adolescent
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Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial.

Pediatric cardiology Dec 12, 2018
Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and congenital heart disease by auscultation. However, despite recent advances in signal processing and classification algorithms focused on heart sounds, cl...
Child, Preschool Child Heart Defects, Congenital Heart Auscultation Heart Murmurs Sensitivity and Specificity Middle Aged Infant Diagnosis, Computer-Assisted Humans Adolescent Artificial Intelligence Databases, Factual Algorithms Aged Aged, 80 and over Young Adult Adult
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