Humans

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Context-dependent adaptation improves robustness of myoelectric control for upper-limb prostheses.

Journal of neural engineering Jul 10, 2017
OBJECTIVE: Dexterous upper-limb prostheses are available today to restore grasping, but an effective and reliable feed-forward control is still missing. The aim of this work was to improve the robustness and reliability of myoelectric control by usin...
Arm Adaptation, Physiological Proprioception Hand Artificial Limbs Prosthesis Design Machine Learning Hand Strength Humans
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Machine-Learning-Assisted Approach for Discovering Novel Inhibitors Targeting Bromodomain-Containing Protein 4.

Journal of chemical information and modeling Jul 10, 2017
Bromodomain-containing protein 4 (BRD4) is implicated in the pathogenesis of a number of different cancers, inflammatory diseases and heart failure. Much effort has been dedicated toward discovering novel scaffold BRD4 inhibitors (BRD4is) with differ...
Drug Discovery Nuclear Proteins Transcription Factors Molecular Targeted Therapy Machine Learning Humans Protein Conformation Molecular Docking Simulation Cell Line Cell Cycle Proteins Structure-Activity Relationship Drug Evaluation, Preclinical
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Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.

Journal of medical Internet research Jul 10, 2017
BACKGROUND: Early identification and intervention are imperative for suicide prevention. However, at-risk people often neither seek help nor take professional assessment. A tool to automatically assess their risk levels in natural settings can increa...
Male Adolescent Stress, Psychological Suicide Social Media Female Data Mining Asian People Young Adult Linguistics Humans Adult Machine Learning
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Medical diagnosis as a linguistic game.

BMC medical informatics and decision making Jul 10, 2017
BACKGROUND: We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.
Humans Terminology as Topic Knowledge Bases Medical Informatics Applications
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Machine learning methods to predict child posttraumatic stress: a proof of concept study.

BMC psychiatry Jul 10, 2017
BACKGROUND: The care of traumatized children would benefit significantly from accurate predictive models for Posttraumatic Stress Disorder (PTSD), using information available around the time of trauma. Machine Learning (ML) computational methods have...
Male Child, Preschool Child Female Risk Factors Stress Disorders, Post-Traumatic Proof of Concept Study Humans Artificial Intelligence Machine Learning
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Multi-label classification methods for improving comorbidities identification.

Computers in biology and medicine Jul 8, 2017
The medical diagnostic process may be supported by computational classification techniques. In many cases, patients are affected by multiple illnesses, and more than one classification label is required to improve medical decision-making. In this pap...
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Artificial Intelligence Diagnosis, Computer-Assisted Pattern Recognition, Automated Humans
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Machine learning-enabled discovery and design of membrane-active peptides.

Bioorganic & medicinal chemistry Jul 8, 2017
Antimicrobial peptides are a class of membrane-active peptides that form a critical component of innate host immunity and possess a diversity of sequence and structure. Machine learning approaches have been profitably employed to efficiently screen s...
Peptides Humans Computer-Aided Design Antimicrobial Cationic Peptides Anti-Infective Agents Drug Design Machine Learning Models, Molecular Animals
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Stability-indicating spectrofluorimetric method with enhanced sensitivity for determination of vancomycin hydrochloride in pharmaceuticals and spiked human plasma: Application to degradation kinetics.

Journal of food and drug analysis Jul 8, 2017
Based on investigating the relative fluorescence intensity of vancomycin hydrochloride (VCM) in methanol, a simple, highly sensitive, time-saving and specific spectrofluorimetric method was developed and validated. VCM fluorescence was measured at 33...
Spectrometry, Fluorescence Fluorescence Vancomycin Kinetics Oxidation-Reduction Drug Stability Humans Limit of Detection Anti-Bacterial Agents
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The impact of goal-oriented task design on neurofeedback learning for brain-computer interface control.

Medical & biological engineering & computing Jul 8, 2017
Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain-computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented ta...
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Neural Networks, Computer Brain Learning Humans Adult Self Report Female Male Brain-Computer Interfaces Young Adult Electroencephalography Neurofeedback Functional Laterality Teaching
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Automatic classification of RDoC positive valence severity with a neural network.

Journal of biomedical informatics Jul 8, 2017
OBJECTIVE: Our objective was to develop a machine learning-based system to determine the severity of Positive Valance symptoms for a patient, based on information included in their initial psychiatric evaluation. Severity was rated on an ordinal scal...
Automation Humans Neural Networks, Computer Machine Learning
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