Humans
Showing 68301 to 68310 of 95995 articles
An Extreme Learning Machine Based on Artificial Immune System.
Computational intelligence and neuroscience
Jun 25, 2018
Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance. Unlike the traditional neural network, the ELM algorithm greatly improves the training...
Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection.
International journal of neural systems
Jun 24, 2018
The aim of this study was to develop methods for detecting the nonstationary periodic characteristics of neonatal electroencephalographic (EEG) seizures by adapting estimates of the correlation both in the time (spike correlation; SC) and time-freque...
Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning.
Journal of neuroscience methods
Jun 23, 2018
BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are commonly dealt with based on qualitative and subjective criteria. Failure to account for EEG artifacts compromises data interpretation.
Towards intelligent robust detection of anatomical structures in incomplete volumetric data.
Medical image analysis
Jun 23, 2018
Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive ...
MOVR-NeuroMuscular ObserVational Research, a unified data hub for neuromuscular diseases.
Genetics in medicine : official journal of the American College of Medical Genetics
Jun 22, 2018
EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces.
Journal of neural engineering
Jun 22, 2018
OBJECTIVE: Brain-computer interfaces (BCI) enable direct communication with a computer, using neural activity as the control signal. This neural signal is generally chosen from a variety of well-studied electroencephalogram (EEG) signals. For a given...
(1)
A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases.
Computer methods and programs in biomedicine
Jun 22, 2018
BACKGROUND AND OBJECTIVE: Drug-drug interaction (DDI) is one of the main causes of toxicity and treatment inefficacy. This work focuses on non-communicable diseases (NCDs), the non-transmissible and long-lasting diseases since they are the leading ca...
Cluster Analysis
Area Under Curve
Simvastatin
Computer Simulation
Humans
Noncommunicable Diseases
False Positive Reactions
Reproducibility of Results
Machine Learning
Neural Networks, Computer
Quantitative Structure-Activity Relationship
Drug Interactions
Support Vector Machine
Algorithms
Probability
Databases, Factual
Cytochrome P-450 Enzyme System
Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training.
Journal of the American College of Radiology : JACR
Jun 22, 2018
The past, present and future role of artificial intelligence in imaging.
European journal of radiology
Jun 22, 2018
Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing technological advances are encouraging more widespread use of AI in imaging. This is partly driven by the recognition of the significant frequency and clini...
(1)
Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.
Molecular medicine reports
Jun 22, 2018
Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, recurring airway obstruction and bronchospasm. The aim of the present study was to screen critical differentially expressed genes (DEGs) involved in a...
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