AIMC Topic: Adolescent

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Computational evidence for hierarchically structured reinforcement learning in humans.

Proceedings of the National Academy of Sciences of the United States of America Nov 24, 2020
Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine-learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this a...
Reinforcement, Psychology Learning Curve Adult Male Adolescent Bayes Theorem Models, Psychological Humans Machine Learning Female Young Adult
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AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research.

Medicine Nov 6, 2020
Leukemia diagnosis based on bone marrow cell morphology primarily relies on the manual microscopy of bone marrow smears. However, this method is greatly affected by subjective factors and tends to lead to misdiagnosis. This study proposes using bone ...
Child Bone Marrow Cells Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans Male Neural Networks, Computer Middle Aged Female Adolescent Aged Child, Preschool Young Adult Adult Leukemia, Myeloid, Acute
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Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques.

Journal of autism and developmental disorders Nov 1, 2020
Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning me...
Humans Child, Preschool Child Electrocardiography Cluster Analysis Self-Injurious Behavior Machine Learning Autism Spectrum Disorder Female Male Adolescent
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Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Screening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D) and type 2 diabetes (T2D), yet screening rates remain low. Point-of-care diabetic retinopathy screening using autonomous artificial intelligence (AI...
Diabetes Mellitus, Type 1 Mass Screening Cost-Benefit Analysis Point-of-Care Systems Adolescent Child Diabetes Mellitus, Type 2 Humans Diabetic Retinopathy Artificial Intelligence Retrospective Studies Female Young Adult Male
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Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis.

Brain imaging and behavior Oct 1, 2020
Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is a common type of pediatric epilepsy. We sought to evaluate whether the combination of voxel-based morphometry (VBM) and support vector machine (SVM), a machine learning method, was...
Humans Machine Learning Magnetic Resonance Imaging Hippocampus Gray Matter Epilepsy, Temporal Lobe Sclerosis Female Male Adolescent Child, Preschool Child
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[Study on the precision of the robot-assisted sacroiliac screw placement].

Zhonghua yi xue za zhi Sep 22, 2020
To evaluate the precision of the robot-assisted sacroiliac screw placement for posterior pelvis injury and the impacting factors. The clinical data of twenty-four cases of posterior pelvic fractures treated by percutaneous sacroiliac screw placemen...
Humans Retrospective Studies Female Aged Young Adult Pelvic Bones Fracture Fixation, Internal Robotics Adult Bone Screws Male Sacrum Middle Aged Adolescent
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Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

Pakistan journal of pharmaceutical sciences Sep 1, 2020
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 ...
Young Adult Diabetes Mellitus, Type 2 Adult Predictive Value of Tests Decision Support Techniques Middle Aged Cross-Sectional Studies Humans Pakistan Female Male Neural Networks, Computer Restless Legs Syndrome Risk Factors Artificial Intelligence Risk Assessment Aged Algorithms Prevalence Aged, 80 and over Adolescent Incidence
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Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked.

The Journal of clinical endocrinology and metabolism Sep 1, 2020
AIMS: The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes.
Child Feces Diabetes Mellitus, Type 1 Gastrointestinal Microbiome Age of Onset Metagenome Risk Factors Humans Male Machine Learning Adolescent Algorithms Cohort Studies Female Child, Preschool
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Humans Attention Deficit Disorder with Hyperactivity Machine Learning Adolescent Risk Factors Patient Acceptance of Health Care Child, Preschool Male Child Comorbidity Female ROC Curve Severity of Illness Index Socioeconomic Factors
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Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.

Journal of thoracic imaging Sep 1, 2020
PURPOSE: Pneumonia is a common clinical diagnosis for which chest radiographs are often an important part of the diagnostic workup. Deep learning has the potential to expedite and improve the clinical interpretation of chest radiographs. While earlie...
Probability Radiography, Thoracic Humans Retrospective Studies Adolescent Middle Aged Female Child, Preschool Aged Infant Child Lung Aged, 80 and over Pneumonia Deep Learning Young Adult Radiographic Image Interpretation, Computer-Assisted Adult Male
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