Public Health & Policy

Work Force

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

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Comparing the Influence of Simulated Experimental Errors on 12 Machine Learning Algorithms in Bioactivity Modeling Using 12 Diverse Data Sets.

To date, no systematic study has assessed the effect of random experimental errors on the predictive...

A new robust model of one-class classification by interval-valued training data using the triangular kernel.

A robust one-class classification model as an extension of Campbell and Bennett's (C-B) novelty dete...

Impact of relationships between test and training animals and among training animals on reliability of genomic prediction.

One of the factors affecting the reliability of genomic prediction is the relationship among the ani...

Robot-Assisted Training Early After Cardiac Surgery.

BACKGROUND: To assess feasibility and safety of a robot-assisted gait therapy with the Lokomat® syst...

Design of a novel telerehabilitation system with a force-sensing mechanism.

Many stroke patients are expected to rehabilitate at home, which limits their access to proper rehab...

Experimental design strategy: weak reinforcement leads to increased hit rates and enhanced chemical diversity.

High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...

Acceptability and usability of a telepresence robot for geriatric primary care: A pilot.

The dual challenge of increasing numbers of older adults and overall increases in those with some fo...

Assessment of robotic patient simulators for training in manual physical therapy examination techniques.

Robots that simulate patients suffering from joint resistance caused by biomechanical and neural imp...

High-Dimensional Neural Network Potentials for Organic Reactions and an Improved Training Algorithm.

Artificial neural networks (NNs) represent a relatively recent approach for the prediction of molecu...

Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

BACKGROUND: While constraint-induced movement therapy (CIMT) is one of the most promising techniques...

Self-training in significance space of support vectors for imbalanced biomedical event data.

BACKGROUND: Pairwise relationships extracted from biomedical literature are insufficient in formulat...

Using support vector machine ensembles for target audience classification on Twitter.

The vast amount and diversity of the content shared on social media can pose a challenge for any bus...

What is it like to walk with the help of a robot? Children's perspectives on robotic gait training technology.

PURPOSE: Robotic gait training is an emerging intervention that holds great therapeutic promise in t...

Detecting tympanostomy tubes from otoscopic images via offline and online training.

Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media...

Robot-assisted gait training might be beneficial for more severely affected children with cerebral palsy.

PURPOSE: Robot-assisted gait training (RAGT) can complement conventional therapies in children with ...

An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation.

This paper presents a novel electromyography (EMG)-driven hand exoskeleton for bilateral rehabilitat...

Development of a standardised training curriculum for robotic surgery: a consensus statement from an international multidisciplinary group of experts.

OBJECTIVES: To explore the views of experts about the development and validation of a robotic surger...

Facilitatory effects of anti-spastic medication on robotic locomotor training in people with chronic incomplete spinal cord injury.

BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can...

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