AIMC Topic: Child

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Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children.

Prevention science : the official journal of the Society for Prevention Research Feb 1, 2020
Machine learning provides a method of identifying factors that discriminate between substance users and non-users potentially improving our ability to match need with available prevention services within context with limited resources. Our aim was to...
Peer Group Machine Learning Female Male Surveys and Questionnaires Child Mexico Substance-Related Disorders Self Concept Humans
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Commentary: Pediatric eye screening - Reaching the unreached.

Indian journal of ophthalmology Feb 1, 2020
Blindness Vision Screening Humans Artificial Intelligence Child
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Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2020
OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innovation. Our objective was to compare adverse drug event (ADE) rates determined from two RWD sources, electronic health records and administrative claim...
Humans Retrospective Studies Child Regression Analysis Natural Language Processing Insurance, Health Electronic Health Records Female Male Child, Preschool Current Procedural Terminology Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Hypertension, Pulmonary
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Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology Feb 1, 2020
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...
Elbow Injuries Radiography Elbow Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Humans Retrospective Studies Neural Networks, Computer Child Reproducibility of Results Algorithms Sensitivity and Specificity ROC Curve Deep Learning Fractures, Bone Area Under Curve
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Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?

Prevention science : the official journal of the Society for Prevention Research Feb 1, 2020
The cost-effectiveness of targeted delinquency prevention programs for children depends on the accuracy of the screening process. Screening accuracy is often poor, resulting in wasted resources and missed opportunities to avert negative outcomes. Thi...
Humans Machine Learning Algorithms Quality Improvement Violence Pennsylvania Male Juvenile Delinquency Child Logistic Models Mass Screening
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Machine learning-based prediction of response to growth hormone treatment in Turner syndrome: the LG Growth Study.

Journal of pediatric endocrinology & metabolism : JPEM Jan 28, 2020
Background Growth hormone (GH) treatment has become a common practice in Turner syndrome (TS). However, there are only a few studies on the response to GH treatment in TS. The aim of this study is to predict the responsiveness to GH treatment and to ...
Predictive Value of Tests Body Height Turner Syndrome Time Factors Growth Disorders Child Humans Machine Learning Retrospective Studies Female Male Human Growth Hormone
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[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2020
PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement of graft liver and spleen of pediatric transplant recipients on digital imaging and communications in medicine (DICOM) -format images using U-Net and t...
Child Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Deep Learning Liver Liver Transplantation
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Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.

Journal of X-ray science and technology Jan 1, 2020
OBJECTIVE: Diagnosis of tuberculosis (TB) in multi-slice spiral computed tomography (CT) images is a difficult task in many TB prevalent locations in which experienced radiologists are lacking. To address this difficulty, we develop an automated dete...
Deep Learning Adolescent Humans Child, Preschool Radiographic Image Interpretation, Computer-Assisted Aged Algorithms Male Child Aged, 80 and over Tuberculosis, Pulmonary Middle Aged Tomography, X-Ray Computed Young Adult Lung Female Adult
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Lessons learned from conducting a pragmatic, randomized, crossover trial on robot-assisted gait training in children with cerebral palsy (PeLoGAIT).

Journal of pediatric rehabilitation medicine Jan 1, 2020
PURPOSE: To investigate the effectiveness of outpatient robot-assisted gait training (RAGT) in ambulatory children with spastic cerebral palsy.
Walk Test Early Termination of Clinical Trials Cross-Over Studies Cerebral Palsy Orthotic Devices Male Physical Therapy Modalities Follow-Up Studies Adolescent Humans Robotics Child Female Gait Treatment Outcome
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Effects of robot-assisted gait training alongside conventional therapy on the development of walking in children with cerebral palsy.

Journal of pediatric rehabilitation medicine Jan 1, 2020
PURPOSE: To investigate the effects of robot-assisted gait training (RAGT) alongside conventional therapy on the standing and walking abilities of children with cerebral palsy (CP).
Humans Female Cross-Sectional Studies Male Adolescent Child, Preschool Physical Therapy Modalities Walk Test Gait Cerebral Palsy Standing Position Orthotic Devices Child Treatment Outcome Robotics Walking
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