Practice Management

Staffing & Scheduling

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

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Intelligent scheduling of execution for customized physical fitness and healthcare system.

Physical fitness and health of white collar business person is getting worse and worse in recent yea...

Development of wrist rehabilitation robot and interface system.

The authors have developed a practical wrist rehabilitation robot for hemiplegic patients. It consis...

Robot-assisted humanized passive rehabilitation training based on online assessment and regulation.

Robot-assisted rehabilitation has been developed and proved effective for motion function recovery. ...

Improved walking ability with wearable robot-assisted training in patients suffering chronic stroke.

Wearable robotic devices provide safe and intensive rehabilitation, enabling repeated motions for mo...

A hybrid ensemble method based on double disturbance for classifying microarray data.

Microarray data has small samples and high dimension, and it contains a significant amount of irrele...

Computer-Interpretable Clinical Guidelines: A Review and Analysis of Evaluation Criteria for Authoring Methods.

There are a variety of authoring tools and methods for producing computer-interpretable clinical gui...

A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.

Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are ...

Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.

Clinical trials are studies designed to assess whether a new intervention is better than the current...

Improving Hospital-Wide Early Resource Allocation through Machine Learning.

The objective of this paper is to evaluate the extent to which early determination of diagnosis-rela...

Optimizing artificial neural network models for metabolomics and systems biology: an example using HPLC retention index data.

BACKGROUND: Artificial Neural Networks (ANN) are extensively used to model 'omics' data. Different m...

A review of training research and virtual reality simulators for the da Vinci surgical system.

UNLABELLED: PHENOMENON: Virtual reality simulators are the subject of several recent studies of skil...

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy....

Management and modeling of balance disorders using decision support systems: the EMBALANCE project.

In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE...

Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D images.

Deep learning has traditionally been computationally expensive, and advances in training methods hav...

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