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Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks.

IEEE journal of biomedical and health informatics Jul 14, 2017
Deep learning, a relatively new branch of machine learning, has been investigated for use in a variety of biomedical applications. Deep learning algorithms have been used to analyze different physiological signals and gain a better understanding of h...
Humans Deep Learning Electroencephalography Signal Processing, Computer-Assisted
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Feature selection before EEG classification supports the diagnosis of Alzheimer's disease.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 14, 2017
OBJECTIVE: In many decision support systems, some input features can be marginal or irrelevant to the diagnosis, while others can be redundant among each other. Thus, feature selection (FS) algorithms are often considered to find relevant/non-redunda...
Electroencephalography Machine Learning Humans Aged Male Alzheimer Disease Algorithms Aged, 80 and over Middle Aged Female
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Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2017
The interaction of social networks with the external environment gives rise to non-stationary activity patterns reflecting the temporal structure and strength of exogenous influences that drive social dynamical processes far from an equilibrium state...
Neural Networks, Computer Models, Theoretical Social Networking Community Networks Humans
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Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma.

Scientific reports Jul 14, 2017
Deep learning-based radiomics (DLR) was developed to extract deep information from multiple modalities of magnetic resonance (MR) images. The performance of DLR for predicting the mutation status of isocitrate dehydrogenase 1 (IDH1) was validated in ...
Neural Networks, Computer Female Humans Magnetic Resonance Imaging Neoplasm Invasiveness Neoplasm Grading Isocitrate Dehydrogenase Adult Cohort Studies Male Time Factors Deep Learning ROC Curve Glioma
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Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

Scientific reports Jul 14, 2017
The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laborat...
(1)
Infant Child, Preschool Hand, Foot and Mouth Disease Female Male Risk Assessment Machine Learning Algorithms Humans
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Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

Journal of neuroengineering and rehabilitation Jul 14, 2017
BACKGROUND: Robot-assisted gait therapy is increasingly being used in pediatric neurorehabilitation to complement conventional physical therapy. The robotic device applied in this study, the Lokomat (Hocoma AG, Switzerland), uses a position control m...
(1)
Female Young Adult Biomechanical Phenomena Male Humans Muscle, Skeletal Exercise Therapy Robotics Heart Rate Gait Disorders, Neurologic Pilot Projects Electromyography Quality Improvement Adolescent Walking Cerebral Palsy Child Leg
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Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

PloS one Jul 14, 2017
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proacti...
ROC Curve Aged Aged, 80 and over Electronic Health Records Patient Readmission Young Adult Adolescent Humans Infant, Newborn Child, Preschool Infant Neural Networks, Computer Risk Factors Adult Area Under Curve Child Length of Stay Middle Aged Databases, Factual
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
(1)
Humans Adult Models, Theoretical Female Male Bayes Theorem Depressive Disorder, Major Sensitivity and Specificity Reproducibility of Results Middle Aged Electroencephalography Surveys and Questionnaires Support Vector Machine Young Adult Logistic Models
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High-accuracy drilling with an image guided light weight robot: autonomous versus intuitive feed control.

International journal of computer assisted radiology and surgery Jul 13, 2017
PURPOSE: Assistance of robotic systems in the operating room promises higher accuracy and, hence, demanding surgical interventions become realisable (e.g. the direct cochlear access). Additionally, an intuitive user interface is crucial for the use o...
Humans Tomography, X-Ray Computed Robotics Cochlea Temporal Bone Surgery, Computer-Assisted Phantoms, Imaging
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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Scientific reports Jul 13, 2017
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires fi...
Computer Simulation Learning Neuronal Plasticity Action Potentials Humans Neural Networks, Computer Brain Synapses Time Perception
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