Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and ...
A comprehensive review on the problem of choosing a suitable activation function for the hidden laye...
In this paper, we study a set of real-time scheduling problems whose objectives can be expressed as ...
BACKGROUND: Worldwide, the annual number of robotic surgical procedures continues to increase. Robot...
Increasing recognition of the role and value of theory in improvement work in healthcare offers the ...
The current big data deluge requires innovative solutions for performing efficient inference on larg...
In this paper we consider the training of single hidden layer neural networks by pseudoinversion, wh...
STUDY DESIGN: This is a retrospective study.
Pattern recognition in control charts is critical to make a balance between discovering faults as ea...
Automated phenotype identification plays a critical role in cohort selection and bioinformatics data...
Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, ...
We are motivated by the issue of classifying diseases of chronically ill patients to assist physicia...
BACKGROUND: Despite the functional impact of upper limb dysfunction in multiple sclerosis (MS), effe...
Automatic detection systems usually require large and representative training datasets in order to o...
Techniques proposed for assisting locomotion with exoskeletons have often included a combination of ...
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed t...
Many automatic segmentation methods are based on supervised machine learning. Such methods have prov...
Running with compliant curved legs involves the progression of the center of pressure, the changes o...
The Biological Magnetic Resonance Data Bank (BMRB) contains NMR chemical shift depositions for over ...
STUDY DESIGN: One case report of proximal tibia fracture in a patient with incomplete spinal cord in...
A robust one-class classification model as an extension of Campbell and Bennett's (C-B) novelty dete...