Public Health & Policy

Work Force

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

4,201 articles
Stay Ahead - Weekly Work Force research updates
Subscribe
Browse Categories
Showing 1996-2016 of 4,201 articles
Deep Learning for Musculoskeletal Force Prediction.

Musculoskeletal models permit the determination of internal forces acting during dynamic movement, w...

From deep learning to transfer learning for the prediction of skeletal muscle forces.

Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural networks. Neur...

Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study.

Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke pat...

Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning.

Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges kno...

Analysis of Kidney Donation and Its Relationship With Graft Failure of the Recipient at 1 Year.

INTRODUCTION: Currently, the shortage of organs available for kidney transplantation and a change in...

Improving palliative care with deep learning.

BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations st...

Scalable Electronic Phenotyping For Studying Patient Comorbidities.

Over 75 million Americans have multiple concurrent chronic conditions and medical decision making fo...

Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...

Robot-assisted gait training effectively improved lateropulsion in subacute stroke patients: a single-blinded randomized controlled trial.

BACKGROUND: Some stroke patients are known to use nonparetic extremities to push toward the paretic ...

Force Analysis and Evaluation of a Pelvic Support Walking Robot with Joint Compliance.

The force analysis of a pelvic support walking robot with joint compliance is discussed in this pape...

Training bioinspired sensors to classify flows.

We consider the inverse problem of classifying flow patterns from local sensory measurements. This p...

A combined modelling of fuzzy logic and Time-Driven Activity-based Costing (TDABC) for hospital services costing under uncertainty.

Hospital traditional cost accounting systems have inherent limitations that restrict their usefulnes...

Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models.

Machine learning algorithms that use data streams captured from soft wearable sensors have the poten...

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

Medical datasets are often highly imbalanced with over-representation of prevalent conditions and po...

How can the presence of a surgical care practitioner improve training for staff who are learning how to scrub for robotics cases in a urology theatre?

AIM: This study examines how a surgical care practitioner can contribute to the learning needs of ju...

L1 -Norm Batch Normalization for Efficient Training of Deep Neural Networks.

Batch normalization (BN) has recently become a standard component for accelerating and improving the...

Effect of Stride Management Assist Gait Training for Poststroke Hemiplegia: A Single Center, Open-Label, Randomized Controlled Trial.

BACKGROUND: Poststroke gait disorders negatively impact activities of daily living. Rehabilitation f...

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures.

INTRODUCTION: To evaluate the accuracy of deep convolutional neural networks (DCNNs) for detecting n...

Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks.

Accurate clinical target volume (CTV) delineation is essential to ensure proper tumor coverage in ra...

Vibrational Properties of Metastable Polymorph Structures by Machine Learning.

Despite vibrational properties being critical for the ab initio prediction of finite-temperature sta...

Browse Categories