AIMC Topic: Feedback

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The Extended Supervised Learning Event (ESLE): Assessing Nontechnical Skills in Emergency Medicine Trainees in the Workplace.

Annals of emergency medicine Jul 17, 2019
STUDY OBJECTIVE: The contribution of emergency medicine clinicians' nontechnical skills in providing safe, high-quality care in the emergency department (ED) is well known. In 2015, the UK Royal College of Emergency Medicine introduced explicit valid...
Psychometrics Clinical Competence Educational Measurement Reproducibility of Results Feedback Emergency Medicine Supervised Machine Learning Quality of Health Care Workplace Humans Patient Safety
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Delay-dependent criterion for asymptotic stability of a class of fractional-order memristive neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Jul 15, 2019
The Lyapunov-Krasovskii functional approach is an important and effective delay-dependent stability analysis method for integer order system. However, it cannot be applied directly to fractional-order (FO) systems. To obtain delay-dependent stability...
Machine Learning Feedback Time Neural Networks, Computer
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Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).

Behaviour research and therapy Jul 8, 2019
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical practice will be described - the Trier Treatment Navigator (TTN). The paper deals with the underlying research concepts related to personalized pre-tr...
Humans Machine Learning Adolescent Young Adult Stress Disorders, Post-Traumatic Adult Decision Support Systems, Clinical Feedback Anxiety Disorders Adjustment Disorders Male Surveys and Questionnaires Patient Dropouts Middle Aged Personality Disorders Clinical Decision-Making Mood Disorders Female Problem Solving Aged Cognitive Behavioral Therapy Mental Disorders Precision Medicine
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Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure.

IEEE transactions on neural networks and learning systems Jun 24, 2019
In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode controller based on the DHLRNN is proposed for a class of dynamic systems. The...
Neural Networks, Computer Artificial Intelligence Algorithms Feedback Pattern Recognition, Automated Humans
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Quasi-projective and complete synchronization of fractional-order complex-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2019
This paper studies quasi-projective synchronization (QPS) and complete synchronization (CS) for a class of fractional-order complex-valued neural networks with time delays by designing suitable controllers. To realize QPS and CS, linear feedback cont...
Feedback Neural Networks, Computer Algorithms Time Factors
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Closed Loop Control of an MR-Conditional Robot with Wireless Tracking Coil Feedback.

Annals of biomedical engineering Jun 19, 2019
This paper presents a hardware and software system to implement the task space control of an MR-conditional robot by integrating inductively coupled wireless coil based tracking feedback into the control loop. The main motivation of this work is to i...
Robotics Equipment Design Feedback Magnetic Resonance Imaging Software
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Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

Applied clinical informatics Jun 5, 2019
BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of North Carol...
Data Mining Biomedical Research Colitis Biological Ontologies Humans User-Computer Interface Feedback Crohn Disease
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Local online learning in recurrent networks with random feedback.

eLife May 24, 2019
Recurrent neural networks (RNNs) enable the production and processing of time-dependent signals such as those involved in movement or working memory. Classic gradient-based algorithms for training RNNs have been available for decades, but are inconsi...
Chromosome Pairing Memory, Short-Term Neural Networks, Computer Education, Distance Algorithms Time Factors Computer Simulation Humans Brain Databases, Genetic Learning Models, Neurological Feedback
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Approximate neural optimal control with reinforcement learning for a torsional pendulum device.

Neural networks : the official journal of the International Neural Network Society May 23, 2019
A torsional pendulum device containing hyperbolic tangent input nonlinearities can be formulated as a nonaffine system. Unlike basic affine systems, the optimal feedback control of complex nonaffine plants is difficult but quite important. In this pa...
Nonlinear Dynamics Machine Learning Feedback
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Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay.

IEEE transactions on cybernetics May 16, 2019
This paper studies the fixed-time anti-synchronization (FTAS) of discontinuous reaction-diffusion neural networks (DRDNNs) with both time-varying coefficients and time delay. First, differential inclusion theory is used to deal with the influence cau...
Feedback Animals Time Factors Neural Networks, Computer Models, Neurological Algorithms Neurons
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