Latest AI and machine learning research in health policy for healthcare professionals.
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation en...
BACKGROUND: Preauthorisation is a control mechanism that is used by Health Insurance Providers (HIPs...
This study assessed the effect of vegetative filter strip (VFS) in removal of suspended sediment (SS...
STUDY OBJECTIVE: To evaluate the feasibility and safety of vaginal vault drainage after complicated ...
PURPOSE: High precision radiosurgery demands comprehensive delivery-quality-assurance techniques. Th...
Quality of service, that is, the waiting time that customers must endure in order to receive a servi...
This work is motivated by the needs of predictive analytics on healthcare data as represented by Ele...
BACKGROUND: Carrying load alters normal walking, imposes additional stress to the musculoskeletal sy...
Assistive technologies, such as robots, have proven to be useful in a social context and to improve ...
Models for predicting the probability of experiencing various health outcomes or adverse events over...
An Abstraction Network is a compact summary of an ontology's structure and content. In previous rese...
External content sources such as MEDLINE(®), National Institutes of Health (NIH) grants and conferen...
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and...
Market impact cost is the most significant portion of implicit transaction costs that can reduce the...
Flexible automation systems provide the needed adaptability to serve shorter-term projects and speci...
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal d...
BACKGROUND: Robot-assisted therapy (RT) is a promising intervention for stroke rehabilitation. RT hy...
Tractography is the standard tool for automatic delineation of white matter tracts from diffusion we...
To investigate and predict quality of 2% brined common carp (Cyprinus carpio) fillets during frozen ...
Quality assessment of a protein model is to predict the absolute or relative quality of a protein mo...
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basi...