AIMC Topic: Child, Preschool

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Prediction of Transient or Permanent Congenital Hypothyroidism from Initial Thyroid Stimulating Hormone Levels.

Indian pediatrics Dec 15, 2018
OBJECTIVE: To identify factors that discriminate between transient and permanent congenital hypothyroidism.
Child, Preschool Humans Follow-Up Studies Thyrotropin Infant, Newborn Decision Support Techniques Remission, Spontaneous Thyroxine Male Biomarkers Congenital Hypothyroidism Infant Prognosis Disease Progression Retrospective Studies Female
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Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2018
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learning models to predict these values for individual patients throughout their PICU episode.
Humans Neural Networks, Computer Intensive Care Units, Pediatric Regression Analysis Patient Discharge Reference Values Vital Signs Machine Learning Infant Adolescent Child, Preschool Child
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Specific Immunoglobulin G4 and Immunoglobulin E Titers to Common Food Antigens in Sera of Children With Allergic Rhinitis.

Alternative therapies in health and medicine Nov 1, 2018
CONTEXT: Allergic rhinitis is a chronic disease that usually affects children. Its etiology has been investigated for years.
Rhinitis, Allergic Male Allergens Egg Hypersensitivity Child, Preschool Humans Child Immunoglobulin G Taiwan Female Immunoglobulin E Animals
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Machine-learning analysis outperforms conventional statistical models and CT classification systems in predicting 6-month outcomes in pediatric patients sustaining traumatic brain injury.

Neurosurgical focus Nov 1, 2018
OBJECTIVEModern surgical planning and prognostication requires the most accurate outcomes data to practice evidence-based medicine. For clinicians treating children following traumatic brain injury (TBI) these data are severely lacking. The first aim...
Brain Injuries, Traumatic Models, Statistical International Classification of Diseases Humans Machine Learning Time Factors Female Electronic Health Records Child, Preschool Child Infant, Newborn Treatment Outcome Male Infant Adolescent
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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

JAMA psychiatry Sep 1, 2018
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear.
Prognosis Female Young Adult Male Risk Assessment Humans Machine Learning Prospective Studies Brain Social Skills Magnetic Resonance Imaging Adolescent Predictive Value of Tests Child, Preschool Psychotic Disorders Child Neuropsychological Tests Longitudinal Studies Prodromal Symptoms
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Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

Journal of speech, language, and hearing research : JSLHR Aug 8, 2018
PURPOSE: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) bro...
Male Child, Preschool Predictive Value of Tests Child Logistic Models Language Tests Humans Child Language Language Development Disorders Machine Learning Algorithms Female
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Machine learning approach for early detection of autism by combining questionnaire and home video screening.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- intensive, and sometimes fall short in predictive value. In this work, we sought to apply Machine Learning (ML) to gold standard clinical data obtaine...
ROC Curve Machine Learning Early Diagnosis Humans Algorithms Autistic Disorder Methods Surveys and Questionnaires Videotape Recording Child, Preschool
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MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Journal of digital imaging Aug 1, 2018
Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized method for assessment of BAA is the Greulich and Pyle method (Pediatr Radiol 46.9:1269-1274, 2016; Arch ...
Cohort Studies Child, Preschool Child Pediatrics Age Determination by Skeleton Infant Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Neural Networks, Computer Machine Learning Databases, Factual Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Male
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Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Bone age is an essential measure of skeletal maturity in children with growth disorders. It is typically assessed by a trained physician using radiographs of the hand and a reference model. However, it has been described that the reference models lea...
Observer Variation Normal Distribution Age Determination by Skeleton Hand Bones Child, Preschool Child Radiography Infant, Newborn Image Interpretation, Computer-Assisted Young Adult Humans Infant Retrospective Studies Deep Learning Female Adolescent
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Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Medical image analysis Jul 1, 2018
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Neural Networks, Computer Software Algorithms Female Adult Male Middle Aged Adolescent Child, Preschool Autistic Disorder Humans Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping
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