AIMC Topic: Support Vector Machine

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Support vector machine based classification of smokers and nonsmokers using diffusion tensor imaging.

Brain imaging and behavior Dec 1, 2020
Despite significant progress in treatments for smoking cessation, smoking continues to be a significant public health concern, especially in young adulthood. Thus, developing a predictive model that can classify and characterize the brain-based bioma...
Young Adult Adult Male Humans Brain White Matter Diffusion Tensor Imaging Non-Smokers Support Vector Machine Magnetic Resonance Imaging Smokers
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.

Mathematical biosciences and engineering : MBE Nov 19, 2020
In this study, we ranked the Multimodal Features extracted from Congestive Heart Failure (CHF) and Normal Sinus Rhythm (NSR) subjects. We categorized the ranked features into 1 to 5 categories based on Empirical Receiver Operating Characteristics (ER...
Machine Learning Algorithms ROC Curve Support Vector Machine Bayes Theorem Heart Failure Humans
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Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning.

Optics express Oct 12, 2020
A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning algorithms for hyperspectral detection of microalgae is presented. The THMI system has excellent performance with spatial and spectral resolutions of 4 µm and 3 nm,...
Species Specificity Solutions Absorption, Radiation Microscopy Hyperspectral Imaging Microalgae Support Vector Machine Principal Component Analysis Machine Learning
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Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.

JCO clinical cancer informatics Oct 1, 2020
PURPOSE: Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is rarely the case. For this reason, in the...
Logistic Models United States Support Vector Machine Algorithms Male Prostate Humans Machine Learning
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Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
Support Vector Machine Natural Language Processing Risk Management Humans Patient Safety Datasets as Topic Unified Medical Language System Semantics Medical Errors
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Predicting bacterial virulence factors - evaluation of machine learning and negative data strategies.

Briefings in bioinformatics Sep 25, 2020
Bacterial proteins dubbed virulence factors (VFs) are a highly diverse group of sequences, whose only obvious commonality is the very property of being, more or less directly, involved in virulence. It is therefore tempting to speculate whether their...
Algorithms Amino Acid Sequence Bacteria Datasets as Topic Proteome Dimerization Bacterial Proteins Support Vector Machine Virulence Factors
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DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks.

Briefings in bioinformatics Sep 25, 2020
Protein fold recognition is critical for studying the structures and functions of proteins. The existing protein fold recognition approaches failed to efficiently calculate the pairwise sequence similarity scores of the proteins in the same fold shar...
Algorithms Deep Learning Support Vector Machine Proteins Protein Folding
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A three-dimensional discriminant analysis approach for hyperspectral images.

The Analyst Aug 24, 2020
Raman hyperspectral imaging is a powerful technique that provides both chemical and spatial information of a sample matrix being studied. The generated data are composed of three-dimensional (3D) arrays containing the spatial information across the x...
Principal Component Analysis Discriminant Analysis Algorithms Support Vector Machine
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Datasets as Topic Humans Pneumonia, Viral Decision Trees COVID-19 Bayes Theorem Logistic Models Algorithms Coronavirus Infections Neural Networks, Computer Support Vector Machine ROC Curve Software Pandemics
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Support vector machine prediction of obstructive sleep apnea in a large-scale Chinese clinical sample.

Sleep Jul 13, 2020
STUDY OBJECTIVES: Polysomnography is the gold standard for diagnosis of obstructive sleep apnea (OSA) but it is costly and access is often limited. The aim of this study is to develop a clinically useful support vector machine (SVM)-based prediction ...
China Support Vector Machine Aged Humans Surveys and Questionnaires Sensitivity and Specificity Sleep Apnea, Obstructive Female Male Polysomnography
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