AIMC Topic: Support Vector Machine

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Merging weighted SVMs for parallel incremental learning.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2018
Parallel incremental learning is an effective approach for rapidly processing large scale data streams, where parallel and incremental learning are often treated as two separate problems and solved one after another. Incremental learning can be imple...
Knowledge Learning Support Vector Machine Supervised Machine Learning Algorithms
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GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Journal of psychiatric research Feb 2, 2018
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be ...
Outcome Assessment, Health Care Duloxetine Hydrochloride Serotonin and Noradrenaline Reuptake Inhibitors Female Genome-Wide Association Study Adult Male Polymorphism, Single Nucleotide Sensitivity and Specificity Middle Aged Humans Support Vector Machine Depressive Disorder, Major Prognosis
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Predicting suicidal ideation in primary care: An approach to identify easily assessable key variables.

General hospital psychiatry Feb 2, 2018
OBJECTIVE: To obtain predictors of suicidal ideation, which can also be used for an indirect assessment of suicidal ideation (SI). To create a classifier for SI based on variables of the Patient Health Questionnaire (PHQ) and sociodemographic variabl...
Middle Aged Risk Assessment Anxiety Disorders Cross-Sectional Studies Male Pattern Recognition, Automated Depressive Disorder Somatoform Disorders Suicidal Ideation Primary Health Care Support Vector Machine Humans Neural Networks, Computer Prognosis Female Adult
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A novel selection method of seismic attributes based on gray relational degree and support vector machine.

PloS one Feb 2, 2018
The selection of seismic attributes is a key process in reservoir prediction because the prediction accuracy relies on the reliability and credibility of the seismic attributes. However, effective selection method for useful seismic attributes is sti...
Humans Algorithms Support Vector Machine
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Identification of coffee bean varieties using hyperspectral imaging: influence of preprocessing methods and pixel-wise spectra analysis.

Scientific reports Feb 1, 2018
Hyperspectral imaging was used to identify and to visualize the coffee bean varieties. Spectral preprocessing of pixel-wise spectra was conducted by different methods, including moving average smoothing (MA), wavelet transform (WT) and empirical mode...
Algorithms Spectroscopy, Near-Infrared Calibration Image Processing, Computer-Assisted Support Vector Machine Coffee Seeds Wavelet Analysis Least-Squares Analysis
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Learning-based classification of informative laryngoscopic frames.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
Laryngeal Neoplasms Humans Early Detection of Cancer Pattern Recognition, Automated Laryngoscopy Machine Learning Diagnosis, Computer-Assisted Support Vector Machine
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Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques.

Computers in biology and medicine Jan 31, 2018
The objectives of this study are to assess various automated texture features obtained from the segmented colony regions of induced pluripotent stem cells (iPSCs) and confirm their potential for characterizing the colonies using different machine lea...
Mouse Embryonic Stem Cells Induced Pluripotent Stem Cells Image Processing, Computer-Assisted Mice Support Vector Machine Animals
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Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.

NeuroImage. Clinical Jan 31, 2018
Investigation of the brain's functional connectome can improve our understanding of how an individual brain's organizational changes influence cognitive function and could result in improved individual risk stratification. Brain connectome studies in...
Connectome Infant Neuropsychological Tests Infant, Extremely Premature Brain Support Vector Machine Cognition Disorders Image Processing, Computer-Assisted Female Magnetic Resonance Imaging Humans Gestational Age Male Oxygen Neural Networks, Computer
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Prediction of Multidrug-Resistant TB from CT Pulmonary Images Based on Deep Learning Techniques.

Molecular pharmaceutics Jan 29, 2018
While tuberculosis (TB) disease was discovered more than a century ago, it has not been eradicated yet. Quite contrary, at present, TB constitutes one of the top 10 causes of death and has shown signs of increasing. To complement the conventional dia...
Humans Neural Networks, Computer Tomography, X-Ray Computed Tuberculosis, Multidrug-Resistant Deep Learning Support Vector Machine
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Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Interdisciplinary sciences, computational life sciences Jan 29, 2018
Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-predicting model for EH can help to interpose people's lifestyle and dietary habit to decrease the risk of getting EH. In this study, we constructed a EH...
Humans Essential Hypertension Risk Factors Models, Genetic ROC Curve Support Vector Machine Genetic Predisposition to Disease Environment
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