Public Health & Policy

Work Force

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

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Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system.

We designed a robot system that assisted in behavioral intervention programs of children with autism...

A framework for parallel and distributed training of neural networks.

The aim of this paper is to develop a general framework for training neural networks (NNs) in a dist...

Overground vs. treadmill-based robotic gait training to improve seated balance in people with motor-complete spinal cord injury: a case report.

BACKGROUND: Robotic overground gait training devices, such as the Ekso, require users to actively pa...

Influence of Varying Training Set Composition and Size on Support Vector Machine-Based Prediction of Active Compounds.

Support vector machine (SVM) modeling is one of the most popular machine learning approaches in chem...

Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial.

Gait, coordination, and balance may be severely compromised in patients with multiple sclerosis (MS)...

Improving the accuracy of high-throughput protein-protein affinity prediction may require better training data.

BACKGROUND: One goal of structural biology is to understand how a protein's 3-dimensional conformati...

Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review.

UNLABELLED: Robot-assisted gait training (RAGT) after spinal cord injury (SCI) induces several diffe...

Improving zero-training brain-computer interfaces by mixing model estimators.

OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a dec...

Training with a balance exercise assist robot is more effective than conventional training for frail older adults.

AIM: To examine the efficacy of postural strategy training using a balance exercise assist robot (BE...

On the Adaptation of Pelvic Motion by Applying 3-dimensional Guidance Forces Using TPAD.

Pelvic movement is important to human locomotion as the center of mass is located near the center of...

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

Nuclear segmentation in digital microscopic tissue images can enable extraction of high-quality feat...

Effectiveness of robot-assisted gait training in children with cerebral palsy: a bicenter, pragmatic, randomized, cross-over trial (PeLoGAIT).

BACKGROUND: Walking ability is a priority for many children with cerebral palsy (CP) and their paren...

Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.

PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAG...

SELF-BLM: Prediction of drug-target interactions via self-training SVM.

Predicting drug-target interactions is important for the development of novel drugs and the repositi...

Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data.

Abbreviation disambiguation in clinical texts is a problem handled well by fully supervised machine ...

Objective Assessment of Endovascular Navigation Skills with Force Sensing.

Despite the increasing popularity of endovascular intervention in clinical practice, there remains a...

High-intensity interval training improves obstructive sleep apnoea.

BACKGROUND: Three hours per week of vigorous physical activity is found to be associated with reduce...

Robotic-assisted gait training improves walking abilities in diplegic children with cerebral palsy.

The robotic-assisted gait training therapy (RAGT), based on intensity and repetition of movement, pr...

A Theoretical Analysis of Why Hybrid Ensembles Work.

Inspired by the group decision making process, ensembles or combinations of classifiers have been fo...

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