AIMC Topic:
Computer Simulation

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Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.

Computational and mathematical methods in medicine Jun 11, 2019
Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better prognosis among patients with chronic hepatitis B (CHB). Significant gaps remain in our understanding on how to predict HBsAg seroclearance accurately and ...
Regression Analysis Adult Hepatitis B, Chronic Decision Trees Sensitivity and Specificity Hepatitis B Surface Antigens Area Under Curve Male ROC Curve Humans DNA, Viral Middle Aged Machine Learning Prognosis China Computer Simulation Female Reproducibility of Results
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Novel epidemic models on PSO-based networks.

Journal of theoretical biology Jun 10, 2019
This paper proposes two spatio-temporal epidemic network models based on popularity and similarity optimization (PSO), called r-SI and r-SIS, respectively, in which new connections take both popularity and similarity into account. In the spatial dime...
Humans Neural Networks, Computer Epidemics Computer Simulation Models, Biological
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Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.

Computer methods and programs in biomedicine Jun 10, 2019
BACKGROUND AND OBJECTIVE: The recognition of many sleep related pathologies highly relies on an accurate classification of sleep stages. Clinically, sleep stages are usually labelled by sleep experts through visually inspecting the whole-night polyso...
Electroencephalography Humans Signal Processing, Computer-Assisted Computer Simulation Reproducibility of Results Data Interpretation, Statistical Sleep Machine Learning Algorithms Sleep Stages Databases, Factual Polysomnography Electrooculography
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Circuit mechanisms for the maintenance and manipulation of information in working memory.

Nature neuroscience Jun 10, 2019
Recently it has been proposed that information in working memory (WM) may not always be stored in persistent neuronal activity but can be maintained in 'activity-silent' hidden states, such as synaptic efficacies endowed with short-term synaptic plas...
Memory, Short-Term Computer Simulation Learning Neuronal Plasticity Neural Networks, Computer
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Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.

Human brain mapping Jun 5, 2019
Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, b...
Biomarkers Datasets as Topic Bayes Theorem Humans Longitudinal Studies Neuroimaging Computer Simulation Machine Learning Alzheimer Disease Cerebral Cortex Magnetic Resonance Imaging Models, Theoretical
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Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

JAMA network open Jun 5, 2019
IMPORTANCE: Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.
Humans Computer Simulation Middle Aged Diagnosis, Computer-Assisted Deep Learning Clinical Competence Retrospective Studies Female Male Neurologists Cross-Over Studies Intracranial Aneurysm Neurologic Examination
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Putting a bug in ML: The moth olfactory network learns to read MNIST.

Neural networks : the official journal of the International Neural Network Society Jun 4, 2019
We seek to (i) characterize the learning architectures exploited in biological neural networks for training on very few samples, and (ii) port these algorithmic structures to a machine learning context. The moth olfactory network is among the simples...
Moths Machine Learning Reward Brain Smell Nerve Net Neural Networks, Computer Computer Simulation Animals Support Vector Machine
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A comparative study on feature selection for a risk prediction model for colorectal cancer.

Computer methods and programs in biomedicine Jun 4, 2019
BACKGROUND AND OBJECTIVE: Risk prediction models aim at identifying people at higher risk of developing a target disease. Feature selection is particularly important to improve the prediction model performance avoiding overfitting and to identify the...
Humans Support Vector Machine Area Under Curve Spain Computer Simulation Computer Graphics Risk Assessment Neural Networks, Computer Colorectal Neoplasms ROC Curve Software Databases, Factual
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Machine Learning Models Combined with Virtual Screening and Molecular Docking to Predict Human Topoisomerase I Inhibitors.

Molecules (Basel, Switzerland) Jun 4, 2019
In this work, random forest (RF), support vector machine, k-nearest neighbor and C4.5 decision tree, were used to establish classification models for predicting whether an unknown molecule is an inhibitor of human topoisomerase I (Top1) protein. All ...
Humans Machine Learning Algorithms Computer Simulation Molecular Structure Molecular Dynamics Simulation Quantitative Structure-Activity Relationship Topoisomerase I Inhibitors Reproducibility of Results Molecular Docking Simulation ROC Curve
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Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.

Computational intelligence and neuroscience Jun 3, 2019
The ensemble pruning system is an effective machine learning framework that combines several learners as experts to classify a test set. Generally, ensemble pruning systems aim to define a region of competence based on the validation set to select th...
Humans Benchmarking Machine Learning Scientific Experimental Error Pattern Recognition, Automated Algorithms Computer Simulation
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