AIMC Topic: Support Vector Machine

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Ensemble Learning for Early-Response Prediction of Antidepressant Treatment in Major Depressive Disorder.

Journal of magnetic resonance imaging : JMRI Dec 20, 2019
BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and genetic information can be considered as biomarkers. Together with machine-learning methods, prediction models have proved to be valuable for baseline predi...
Antidepressive Agents Prospective Studies Depressive Disorder, Major Support Vector Machine Humans Machine Learning
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Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification.

Scientific reports Dec 20, 2019
Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotyping...
Machine Learning Discriminant Analysis Data Mining Algorithms Support Vector Machine
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iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties.

International journal of molecular sciences Dec 20, 2019
Understanding of quorum-sensing peptides (QSPs) in their functional mechanism plays an essential role in finding new opportunities to combat bacterial infections by designing drugs. With the avalanche of the newly available peptide sequences in the p...
Peptides Drug Discovery Support Vector Machine Models, Molecular Bacteria Machine Learning Quorum Sensing Amino Acid Sequence Bacterial Physiological Phenomena
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Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.

Biosensors Dec 20, 2019
In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and age-matched control (CO) subjects when uttering three phonemes using two complexity measures: fractal dimension (FD) and normalised mutual information (...
Biosensing Techniques Support Vector Machine Phonetics Voice Parkinson Disease Humans Aged
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Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).

PloS one Dec 19, 2019
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifying yawns from ultrasonographic scans have not been systematically addressed. We report two studies th...
Male Ultrasonography, Prenatal Support Vector Machine Humans Female Fetus Infant, Newborn Yawning Mouth Infant, Premature
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Comparing context-dependent call sequences employing machine learning methods: an indication of syntactic structure of greater horseshoe bats.

The Journal of experimental biology Dec 18, 2019
For analysis of vocal syntax, accurate classification of call sequence structures in different behavioural contexts is essential. However, an effective, intelligent program for classifying call sequences from numerous recorded sound files is still la...
Machine Learning Animals Logistic Models Vocalization, Animal Support Vector Machine Chiroptera Decision Trees Echolocation
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Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method.

Applied biochemistry and biotechnology Dec 16, 2019
Skin disease is the most common problem between people. Due to pollution and deployment of ozone layer, harmful UV rays of sun burn the skin and develop various types of skin diseases. Nowadays, machine learning and deep learning algorithms are gener...
Humans Diagnosis, Computer-Assisted Support Vector Machine Bayes Theorem Machine Learning Algorithms Skin Diseases
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Multiple Compounds Recognition from The Tandem Mass Spectral Data Using Convolutional Neural Network.

Molecules (Basel, Switzerland) Dec 15, 2019
Mixtures analysis can provide more information than individual components. It is important to detect the different compounds in the real complex samples. However, mixtures are often disturbed by impurities and noise to influence the accuracy. Purific...
Support Vector Machine Tandem Mass Spectrometry Drug Discovery ROC Curve Humans Algorithms Reproducibility of Results Neural Networks, Computer
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Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.

BioMed research international Dec 14, 2019
Determining an optimal decision model is an important but difficult combinatorial task in imbalanced microarray-based cancer classification. Though the multiclass support vector machine (MCSVM) has already made an important contribution in this field...
Models, Statistical Algorithms Humans Principal Component Analysis Neoplasms Linear Models Microarray Analysis Data Analysis Support Vector Machine
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Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Journal of medical systems Dec 13, 2019
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major disease affecting millions of people presently. The diagnosis of depression is questionnaire based a...
Middle Aged Depressive Disorder, Major Logistic Models Bayes Theorem Support Vector Machine Electroencephalography Image Processing, Computer-Assisted Female Humans Adult Male
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