AIMC Topic: Probability

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Neural networks versus Logistic regression for 30 days all-cause readmission prediction.

Scientific reports Jun 26, 2019
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the health...
Algorithms Female Aged Male Humans Neural Networks, Computer Machine Learning Heart Failure Probability Patient Readmission False Positive Reactions Risk Logistic Models United States Predictive Value of Tests Area Under Curve Middle Aged Deep Learning ROC Curve
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A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 18, 2019
Spiking neural networks (SNNs) are of interest for applications for which conventional computing suffers from the nearly insurmountable memory-processor bottleneck. This paper presents a stochastic SNN architecture that is based on specialized logic-...
Probability Synapses Machine Learning Neuronal Plasticity Action Potentials Humans Neural Networks, Computer
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Automatic segmentation of hyperreflective foci in OCT images.

Computer methods and programs in biomedicine Jun 17, 2019
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) imag...
Vascular Endothelial Growth Factor A Macular Degeneration Probability Automation Models, Theoretical Area Under Curve Tomography, Optical Coherence Computer Graphics Software Algorithms Biomarkers Retrospective Studies Deep Learning Decision Support Systems, Clinical Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BMC bioinformatics Jun 13, 2019
BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling uncertainty reasoning is important in researching ontology. For example, when a patient is suffering from cirrhosis, the appearance of abdominal vein v...
Humans Algorithms Knowledge Bases Probability Disease Electronic Health Records Diagnostic Techniques and Procedures ROC Curve Area Under Curve Bayes Theorem
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A novel IRBF-RVM model for diagnosis of atrial fibrillation.

Computer methods and programs in biomedicine May 29, 2019
BACKGROUND AND OBJECTIVE: Atrial fibrillation (AF) is one of the common cardiovascular diseases, and electrocardiography (ECG) is a key indicator for the detection and diagnosis of AF and other heart diseases. In this study, an improved machine learn...
Diagnosis, Computer-Assisted Electrocardiography Normal Distribution Support Vector Machine Models, Statistical Humans Data Collection Bayes Theorem Databases, Factual Heart Diseases Signal Processing, Computer-Assisted Reproducibility of Results Probability Atrial Fibrillation
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Computational approaches and machine learning for individual-level treatment predictions.

Psychopharmacology May 27, 2019
RATIONALE: The impact of neuroscience-based approaches for psychiatry on pragmatic clinical decision-making has been limited. Although neuroscience has provided insights into basic mechanisms of neural function, these insights have not improved the a...
Psychiatry Prognosis Probability Neuroimaging Neurosciences Humans Machine Learning Mental Disorders
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Reconstructing faces from fMRI patterns using deep generative neural networks.

Communications biology May 21, 2019
Although distinct categories are reliably decoded from fMRI brain responses, it has proved more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a recently developed deep learning system to reconstruct face im...
Probability Databases, Factual Adult Humans Pattern Recognition, Automated Male Neural Networks, Computer Pattern Recognition, Visual Deep Learning Image Processing, Computer-Assisted Algorithms Brain Models, Theoretical Female Magnetic Resonance Imaging Young Adult Principal Component Analysis
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Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability.

Journal of environmental management May 16, 2019
In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfires are exacerbated by climate change and unplanned human activities. Development of robust management and suppression plans requires accurate estimates...
Iran Probability Humans Ecosystem Neural Networks, Computer Fuzzy Logic Algorithms Wildfires
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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: The extraction of interactions between chemicals and proteins from biomedical literature is important for many biomedical tasks such as drug discovery and precision medicine. In the existing systems, the methods achieving co...
Humans PubMed Neural Networks, Computer Deep Learning Data Mining Software Proteins Reproducibility of Results Probability Databases, Protein Publications
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The Four Horsemen of the 'Omicsalypse': ontology, replicability, probability and epistemology.

Human genetics Apr 20, 2019
Much of modern genomics and the other 'omics' that tag along, assert that the causal bases of biomedical outcomes are genomically enumerable lists whose effects are predictable with 'precision', extensible from samples to all, and enabled by ever-gre...
Gene Ontology Reproducibility of Results Genomics Probability Humans
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