Practice Management

Staffing & Scheduling

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

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Showing 1870-1890 of 6,167 articles
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.

Deep neural networks have achieved remarkable success in a wide variety of natural image and medical...

Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection.

Abnormal behaviors in industrial systems may be early warnings on critical events that may cause sev...

Application of Fuzzy Clustering Model in the Classification of Sports Training Movements.

In order to accurately analyze the movements of sports training using artificial intelligence techni...

A Study on the Impact of Digital Finance on Regional Productivity Growth Based on Artificial Neural Networks.

The relationship between financial development and economic growth has become a hot topic in recent ...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

With the development of AI technology, human-computer interaction technology is no longer the tradit...

Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Scientific analysis of students' incorrect actions in class, as well as timely and effective correct...

Characteristic Analysis and Route Optimization of Heterogeneous Neural Network in Logistics Allocation System.

Logistics distribution vehicle scheduling plays an important role in the supply chain. With the wide...

Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization.

One of the most well-known methods for solving real-world and complex optimization problems is the g...

Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window.

We study the problem of learning the data samples' distribution as it changes in time. This change, ...

Magnetic-Powered Janus Cell Robots Loaded with Oncolytic Adenovirus for Active and Targeted Virotherapy of Bladder Cancer.

A unique robotic medical platform is designed by utilizing cell robots as the active "Trojan horse" ...

Design of a Fuzzy Logic Evaluation to Determine the Ergonomic Risk Level of Manual Material Handling Tasks.

In this work, we propose a fuzzy inference as a decision support system built in the MATLAB Fuzzy Lo...

Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology.

With the rapid development of the economy and society, the sustainable development of resources and ...

Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation.

Athlete balance control ability plays an important role in different types of sports. Accurate and e...

Systematic review of current natural language processing methods and applications in cardiology.

Natural language processing (NLP) is a set of automated methods to organise and evaluate the informa...

Churn prediction in telecommunication industry using kernel Support Vector Machines.

In this age of fierce competitions, customer retention is one of the most important tasks for many c...

Training, validation, and clinical implementation of a deep-learning segmentation model for radiotherapy of loco-regional breast cancer.

AIM: To train and validate a comprehensive deep-learning (DL) segmentation model for loco-regional b...

Research on Intelligent Scheduling Scheme of Aerobics Competition for Multi-Intelligent Decision-Making.

Multi-intelligent decision-making has a good development at present. Based on a series of technologi...

Research on Theory and a Performance Analysis of an Innovative Rehabilitation Robot.

This paper presents an innovative application of a 6-DOF robot in the field of rehabilitation traini...

Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Pediatric gait disorders are often chronic and accompanied by various complications, which challenge...

An Efficient Image Categorization Method With Insufficient Training Samples.

Image classification is an important part of pattern recognition. With the development of convolutio...

Meta multi-task nuclei segmentation with fewer training samples.

Cells/nuclei deliver massive information of microenvironment. An automatic nuclei segmentation appro...

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