AIMC Topic: Support Vector Machine

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Fast fully automatic heart fat segmentation in computed tomography datasets.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 6, 2019
Heart diseases affect a large part of the world's population. Studies have shown that these diseases are related to cardiac fat. Various medical diagnostic aid systems are developed to reduce these diseases. In this context, this paper presents a new...
Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Support Vector Machine Adipose Tissue Sensitivity and Specificity Cardiovascular Diseases Humans Tomography, X-Ray Computed
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Integrated structural modeling and super-resolution imaging resolve GPCR oligomers.

Progress in molecular biology and translational science Dec 6, 2019
Formation of G protein-coupled receptors (GPCRs) dimers and higher order oligomers represents a key mechanism in pleiotropic signaling, yet how individual protomers function within oligomers remains poorly understood. For the Class A/rhodopsin subfam...
Software Algorithms Animals Support Vector Machine Receptors, G-Protein-Coupled Protein Binding Computational Biology Humans Neural Networks, Computer Machine Learning Protein Structure, Secondary Protein Multimerization Fluorescence Resonance Energy Transfer Allosteric Site Mutation Crystallography, X-Ray Protein Interaction Mapping Molecular Dynamics Simulation Ligands
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Location of sources in reaction-diffusion equations using support vector machines.

PloS one Dec 5, 2019
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specific applications include diffusion processes in chemical reactions, as well as the propagation of species, diseases, and populations in general. In som...
Population Disease Vectors Communicable Diseases Support Vector Machine Animals Models, Biological Disease Outbreaks Diffusion
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Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method.

Journal of microbiological methods Dec 4, 2019
With qPCR reaching thousands of reactions per run, assay validation needs automation. We applied support vector machine to qPCR analysis and we could identify reactions with 100% accuracy, dispensing them from further validation. We achieved a greatl...
Humans Machine Learning Real-Time Polymerase Chain Reaction Data Analysis Models, Theoretical Algorithms Support Vector Machine Validation Studies as Topic
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Epidemiological Features of Human Brucellosis in Iran (2011-2018) and Prediction of Brucellosis with Data-Mining Models.

Journal of research in health sciences Dec 4, 2019
BACKGROUND: Brucellosis is known as the major zoonotic disease. We aimed to compare the performance of some data-mining models in predicting the monthly brucellosis cases in Iran.
Female Adult Animals Iran Humans Brucellosis Data Mining Support Vector Machine Male Zoonoses Middle Aged Models, Statistical Incidence Seasons
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Machine learning approach to single nucleotide polymorphism-based asthma prediction.

PloS one Dec 4, 2019
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases. In this work, we integrated ML-based models for feature selecti...
Models, Theoretical Support Vector Machine Humans ROC Curve Machine Learning Polymorphism, Single Nucleotide Asthma
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Fault Diagnosis of Loader Gearbox Based on an ICA and SVM Algorithm.

International journal of environmental research and public health Dec 3, 2019
When a part of the loader's gearbox fails, this can lead to equipment failure due to the complex internal structure and the interrelationship between the parts. Therefore, it is imperative to research an efficient strategy for transmission fault diag...
Humans Support Vector Machine Principal Component Analysis Noise
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Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

Sensors (Basel, Switzerland) Dec 3, 2019
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of op...
Normal Distribution Optic Neuritis Retina Sex Factors Multiple Sclerosis Humans Machine Learning Adult Female Area Under Curve Male Tomography, Optical Coherence Diagnosis, Computer-Assisted Case-Control Studies Support Vector Machine
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Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2019
Medical prediction is always collectively determined based on bioimages collected from different sources or various clinical characterizations described from multiple physiological features. Notably, learning intrinsic structures from multiple hetero...
Support Vector Machine Alzheimer Disease Pattern Recognition, Automated Neuroimaging Discrimination Learning Humans Databases, Factual
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Disentangling brain functional network remodeling in corticobasal syndrome - A multimodal MRI study.

NeuroImage. Clinical Dec 2, 2019
OBJECTIVE: The clinical diagnosis of corticobasal syndrome (CBS) represents a challenge for physicians and reliable diagnostic imaging biomarkers would support the diagnostic work-up. We aimed to investigate the neural signatures of CBS using multimo...
Support Vector Machine Magnetic Resonance Imaging Multimodal Imaging Aged Male Middle Aged Connectome Nerve Net Basal Ganglia Diseases Neuroimaging Gray Matter Cerebral Cortex Humans Female
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