AIMC Topic: Computer Simulation

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Gaussian process classification of superparamagnetic relaxometry data: Phantom study.

Artificial intelligence in medicine Jul 24, 2017
MOTIVATION: Superparamagnetic relaxometry (SPMR) is an emerging technology that holds potential for use in early cancer detection. Measurement of the magnetic field after the excitation of cancer-bound superparamagnetic iron oxide nanoparticles (SPIO...
Image Processing, Computer-Assisted Mice Contrast Media Predictive Value of Tests Magnetite Nanoparticles Magnetic Resonance Imaging Early Detection of Cancer Computer Simulation Reproducibility of Results Animals Machine Learning Algorithms Numerical Analysis, Computer-Assisted Signal-To-Noise Ratio Phantoms, Imaging Magnetics Normal Distribution Neoplasms, Experimental
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A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery.

Artificial intelligence in medicine Jul 24, 2017
OBJECTIVES: Accurate reconstruction and visualisation of soft tissue deformation in real time is crucial in image-guided surgery, particularly in augmented reality (AR) applications. Current deformation models are characterised by a trade-off between...
Machine Learning Algorithms Computer Simulation Finite Element Analysis Neurosurgical Procedures Surgery, Computer-Assisted Humans
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Protein asparagine deamidation prediction based on structures with machine learning methods.

PloS one Jul 21, 2017
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isom...
Supervised Machine Learning Models, Statistical Data Mining Amides Software Asparagine Solvents Molecular Structure Computer Simulation ROC Curve
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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...
Synapses Time Perception Learning Neuronal Plasticity Action Potentials Neural Networks, Computer Humans Brain Computer Simulation
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An active learning-enabled annotation system for clinical named entity recognition.

BMC medical informatics and decision making Jul 5, 2017
BACKGROUND: Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studies have investigated AL in a ...
Humans Medical Informatics Problem-Based Learning Computer Simulation Natural Language Processing
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A statistical framework for biomedical literature mining.

Statistics in medicine Jul 4, 2017
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...
Humans Algorithms Computer Simulation Reproducibility of Results Monte Carlo Method Biometry Gene Ontology Data Mining Systems Biology Markov Chains Bayes Theorem Saccharomyces cerevisiae Genes Sphingolipids DNA Fingerprinting
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Modeling time-to-event (survival) data using classification tree analysis.

Journal of evaluation in clinical practice Jul 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Time to the occurrence of an event is often studied in health research. Survival analysis differs from other designs in that follow-up times for individuals who do not experience the event by the end of the study (cal...
Cardiovascular Diseases Middle Aged Time Factors Body Mass Index Computer Simulation Aged Adult Cholesterol Humans Sex Factors Machine Learning Survival Analysis Age Factors Proportional Hazards Models Decision Trees Blood Pressure
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Efficiency of rate and latency coding with respect to metabolic cost and time.

Bio Systems Jul 3, 2017
Recent studies on the theoretical performance of latency and rate code in single neurons have revealed that the ultimate accuracy is affected in a nontrivial way by aspects such as the level of spontaneous activity of presynaptic neurons, amount of n...
Time Factors Computational Biology Models, Neurological Neurons Humans Neural Networks, Computer Computer Simulation Energy Metabolism Nerve Net Membrane Potentials
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Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience Jun 29, 2017
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
Social Behavior Neural Networks, Computer Computer Simulation Animals Neurons Models, Theoretical Male Nonlinear Dynamics Humans Synapses Models, Neurological Nerve Net Decision Making
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Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review.

PloS one Jun 29, 2017
BACKGROUND: Dementia is a complex disorder characterized by poor outcomes for the patients and high costs of care. After decades of research little is known about its mechanisms. Having prognostic estimates about dementia can help researchers, patien...
Prognosis Machine Learning Dementia Humans Computer Simulation
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