Humans

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Robotic Assessment of Motor, Sensory, and Cognitive Function in Acute Sport-Related Concussion and Recovery.

Journal of neurotrauma Sep 27, 2018
There is a need for better tools to objectively, reliably, and precisely assess neurological function after sport-related concussion (SRC). The aim of this study was to use a robotic device (Kinesiological Instrument for Normal and Altered Reaching M...
Cognition Female Recovery of Function Neurologic Examination Young Adult Psychomotor Performance Robotics Brain Concussion Humans Somatosensory Disorders Athletic Injuries Male Adolescent
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Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model.

NeuroImage Sep 27, 2018
Over the last decade there has been growing interest in understanding the brain activity, in the absence of any task or stimulus, captured by the resting-state functional magnetic resonance imaging (rsfMRI). The resting state patterns have been obser...
Connectome Brain Nerve Net Magnetic Resonance Imaging Humans Models, Neurological Machine Learning
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PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.

Journal of biomedical informatics Sep 27, 2018
The process of discovering novel drugs to treat diseases requires a long time and high cost. It is important to understand side effects of drugs as well as their therapeutic effects, because these can seriously damage the patients due to unexpected a...
Area Under Curve Drug-Related Side Effects and Adverse Reactions Probability Medical Informatics Data Mining Drug Repositioning Natural Language Processing Electronic Health Records Systems Biology Humans Algorithms Phenotype
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Robotics in Nursing: A Scoping Review.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Sep 27, 2018
PURPOSE: Driven by the shortage in qualified nurses and the high percentage of aging populations, the past decade has witnessed a significant growth in the use of robots in nursing, especially in countries like Japan. This article is a scoping review...
Humans Nursing Robotics
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Multimodal skin lesion classification using deep learning.

Experimental dermatology Sep 27, 2018
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classification, previous studies have generally considered only a single clinical/macroscopic image and output a binary decision. In this work, we have presente...
Metadata Photography Deep Learning Multimodal Imaging Skin Diseases Humans Dermoscopy
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The Dark Side of the Moon: The Internet of Things, Industry 4.0, and The Quantified Planet.

Omics : a journal of integrative biology Sep 27, 2018
Industry 4.0 is an innovation framework launched initially at the 2011 Hanover Fair in Germany. It is premised on extreme digital connectivity to build smart factories and deliver extreme automation in science and society. Industry 4.0 has recently s...
Uncertainty Inventions Industry Automation Artificial Intelligence Germany Internet Humans
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HANN: A Hybrid Model for Liver Syndrome Classification by Feature Assortment Optimization.

Journal of medical systems Sep 27, 2018
Early detection of any sort of disease is mandatory for effective medical treatment. Medical diagnosis relies heavily on Data Mining for automated disease classification and detection. It relies on data mining algorithms to examine medical data. Live...
Data Mining Liver Diseases Neural Networks, Computer Algorithms Humans
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An SVM approach for identifying atrial fibrillation.

Physiological measurement Sep 27, 2018
OBJECTIVES: We designed an automated algorithm to classify short electrocardiogram (ECG) strips into four categories: normal rhythm, atrial fibrillation, noisy segment, or other rhythm disturbances.
Humans Support Vector Machine Atrial Fibrillation Pattern Recognition, Automated Diagnosis, Computer-Assisted Electrocardiography
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DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning.

Genomics, proteomics & bioinformatics Sep 27, 2018
Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are...
Deep Learning Nitrosation Software Proteins Internet Humans Reproducibility of Results Amino Acid Sequence Neural Networks, Computer Amino Acids
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A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems.

IEEE transactions on cybernetics Sep 26, 2018
Many real-world optimization problems can be solved by using the data-driven approach only, simply because no analytic objective functions are available for evaluating candidate solutions. In this paper, we address a class of expensive data-driven co...
Machine Learning Algorithms Electronic Health Records Decision Trees Wounds and Injuries Humans
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