Pediatrics

ADHD/ADD

Latest AI and machine learning research in adhd/add for healthcare professionals.

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Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms.

Mirror therapy has been performed as effective occupational therapy in a clinical setting for functi...

Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.

Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and ne...

Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral ...

Exploring information from the topology beneath the Gene Ontology terms to improve semantic similarity measures.

Measuring the similarity between pairs of biological entities is important in molecular biology. The...

Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples.

The identification of individual-cancer-related genes typically is an imbalanced classification issu...

PDF text classification to leverage information extraction from publication reports.

OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in ...

Webulous and the Webulous Google Add-On--a web service and application for ontology building from templates.

BACKGROUND: Authoring bio-ontologies is a task that has traditionally been undertaken by skilled exp...

Recombination spot identification Based on gapped k-mers.

Recombination is crucial for biological evolution, which provides many new combinations of genetic d...

Prediction and detection models for acute kidney injury in hospitalized older adults.

BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result...

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in r...

Dietary triglycerides as signaling molecules that influence reward and motivation.

The reinforcing and motivational aspects of food are tied to the release of the dopamine in the meso...

A multi-layer network approach to MEG connectivity analysis.

Recent years have shown the critical importance of inter-regional neural network connectivity in sup...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.

This paper presents an empirical study of a formative neural network-based assessment approach by us...

Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach.

Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity wer...

A Modified Sparse Representation Method for Facial Expression Recognition.

In this paper, we carry on research on a facial expression recognition method, which is based on mod...

Extending gene ontology with gene association networks.

MOTIVATION: Gene ontology (GO) is a widely used resource to describe the attributes for gene product...

Optimism in Active Learning.

Active learning is the problem of interactively constructing the training set used in classification...

Non-Invasive, Temporally Discrete Feedback of Object Contact and Release Improves Grasp Control of Closed-Loop Myoelectric Transradial Prostheses.

Human grasping and manipulation control critically depends on tactile feedback. Without this feedbac...

Dynamic Behavior of Artificial Hodgkin-Huxley Neuron Model Subject to Additive Noise.

Motivated by neuroscience discoveries during the last few years, many studies consider pulse-coupled...

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