Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essent...

Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the h...

Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance.

Application of personalized medicine requires integration of different data to determine each patien...

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.

Lipocalins are short in sequence length and perform several important biological functions. These pr...

Feasibility of cardiopulmonary exercise testing and training using a robotics-assisted tilt table in dependent-ambulatory stroke patients.

BACKGROUND: We evaluated the feasibility of an augmented robotics-assisted tilt table (RATT) for inc...

Robot-Mediated Imitation Skill Training for Children With Autism.

Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and ...

On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review.

A comprehensive review on the problem of choosing a suitable activation function for the hidden laye...

Current state of virtual reality simulation in robotic surgery training: a review.

BACKGROUND: Worldwide, the annual number of robotic surgical procedures continues to increase. Robot...

A decentralized training algorithm for Echo State Networks in distributed big data applications.

The current big data deluge requires innovative solutions for performing efficient inference on larg...

OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training.

In this paper we consider the training of single hidden layer neural networks by pseudoinversion, wh...

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is serio...

Expanding the occupational health methodology: A concatenated artificial neural network approach to model the burnout process in Chinese nurses.

UNLABELLED: Artificial neural networks are sophisticated modelling and prediction tools capable of e...

Towards dropout training for convolutional neural networks.

Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, ...

Robot-supported upper limb training in a virtual learning environment : a pilot randomized controlled trial in persons with MS.

BACKGROUND: Despite the functional impact of upper limb dysfunction in multiple sclerosis (MS), effe...

Sample Selection for Training Cascade Detectors.

Automatic detection systems usually require large and representative training datasets in order to o...

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen...

Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

Generation of the primate cortex is characterized by the diversity of cortical precursors and the co...

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Many automatic segmentation methods are based on supervised machine learning. Such methods have prov...

Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.

Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in ...

Proximal tibia fracture in a patient with incomplete spinal cord injury associated with robotic treadmill training.

STUDY DESIGN: One case report of proximal tibia fracture in a patient with incomplete spinal cord in...

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