AIMC Topic: Child, Preschool

Clear Filters Showing 1381 to 1390 of 1394 articles

Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.

Human Age Estimation Based on Locality and Ordinal Information.

IEEE transactions on cybernetics
In this paper, we propose a novel feature selection-based method for facial age estimation. The face aging is a typical temporal process, and facial images should have certain ordinal patterns in the aging feature space. From the geometrical perspect...

Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Journal of autism and developmental disorders
Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviours. Technological tools, such as robots, received increased attention as social reinforces and/or assisting tools for improving the performance of chil...

Improving Collaborative Play Between Children with Autism Spectrum Disorders and Their Siblings: The Effectiveness of a Robot-Mediated Intervention Based on Lego® Therapy.

Journal of autism and developmental disorders
The aim of the study was to investigate the effectiveness of a brief robot-mediated intervention based on Lego(®) therapy on improving collaborative behaviors (i.e., interaction initiations, responses, and play together) between children with ASD and...

Can Robotic Interaction Improve Joint Attention Skills?

Journal of autism and developmental disorders
Although it has often been argued that clinical applications of advanced technology may hold promise for addressing impairments associated with autism spectrum disorder (ASD), relatively few investigations have indexed the impact of intervention and ...

Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Journal of clinical research in pediatric endocrinology
OBJECTIVE: Malnutrition continues to be a leading cause of stunted growth in many countries. This study aimed to investigate serum nesfatin-1 and orexin-A levels in underweight children and the potential correlations of these levels with anthropometr...

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.

Journal of autism and developmental disorders
In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper-limb movement could be useful to accurately classify low-functioning children with autism spectrum disorder (ASD) aged 2-4. To answer this question, ...

Clinical vestibular testing assessed with machine-learning algorithms.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Dizziness and imbalance are common clinical problems, and accurate diagnosis depends on determining whether damage is localized to the peripheral vestibular system. Vestibular testing guides this determination, but the accuracy of the dif...

GAIT PATTERN RECOGNITION IN CEREBRAL PALSY PATIENTS USING NEURAL NETWORK MODELLING.

Journal of Ayub Medical College, Abbottabad : JAMC
BACKGROUND: Interpretation of gait data obtained from modern 3D gait analysis is a challenging and time consuming task. The aim of this study was to create neural network models which can recognise the gait patterns from pre- and post-treatment and t...