Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Showing 1933-1953 of 6,167 articles
Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training.

Emotion is an important expression generated by human beings to external stimuli in the process of i...

WalkIm: Compact image-based encoding for high-performance classification of biological sequences using simple tuning-free CNNs.

The classification of biological sequences is an open issue for a variety of data sets, such as vira...

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging.

A key challenge in training neural networks for a given medical imaging task is the difficulty of ob...

Application of Unsupervised Transfer Technique Based on Deep Learning Model in Physical Training.

The research purpose is to study the standardization and scientizing of physical training actions. S...

Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose.

In post-stroke motor rehabilitation, treatment dose description is estimated approximately. The aim ...

A generative adversarial network for synthetization of regions of interest based on digital mammograms.

Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing...

Personality Privacy Protection Method of Social Users Based on Generative Adversarial Networks.

Obscuring or otherwise minimizing the release of personality information from potential victims of s...

Happy work: Improving enterprise human resource management by predicting workers' stress using deep learning.

Recently, workers in most enterprises suffer from excessive occupational stress in the workplace, wh...

automRm: An R Package for Fully Automatic LC-QQQ-MS Data Preprocessing Powered by Machine Learning.

Preprocessing of liquid chromatography-mass spectrometry (LC-MS) raw data facilitates downstream sta...

Fuzzy Logic System Implementation on the Performance Parameters of Health Data Management Frameworks.

The development of wireless sensors and wearable devices has led health care services to the new par...

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis.

The integration of artificial intelligence in precision medicine has revolutionized healthcare deliv...

Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.

BACKGROUND: Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and i...

Deep Data Analysis-Based Agricultural Products Management for Smart Public Healthcare.

Agricultural is an indispensably public healthcare industry for human beings at any time and smart m...

Study on the Effects of Different Seat and Leg Support Conditions of a Trunk Rehabilitation Robot.

Performance of trunk rehabilitation exercises while sitting on movable surfaces with feet on the gro...

A Survey of End-to-End Driving: Architectures and Training Methods.

Autonomous driving is of great interest to industry and academia alike. The use of machine learning ...

Two-Stage CNN Model for Joint Demosaicing and Denoising of Burst Bayer Images.

In the classical image processing pipeline, demosaicing and denoising are separated steps that may i...

The Atlantic divide: contrasting surgical robotics training in the USA, UK and Ireland.

The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, ...

Temporal shift and predictive performance of machine learning for heart transplant outcomes.

BACKGROUND: Outcome prediction following heart transplant is critical to explaining risks and benefi...

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