AIMC Topic: Support Vector Machine

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Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model.

PloS one Nov 15, 2016
Enormous quantities of review documents exist in forums, blogs, twitter accounts, and shopping web sites. Analysis of the sentiment information hidden in these review documents is very useful for consumers and manufacturers. The sentiment orientation...
Fuzzy Logic Emotions Databases as Topic Models, Theoretical Support Vector Machine
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Mapping membrane activity in undiscovered peptide sequence space using machine learning.

Proceedings of the National Academy of Sciences of the United States of America Nov 14, 2016
There are some ∼1,100 known antimicrobial peptides (AMPs), which permeabilize microbial membranes but have diverse sequences. Here, we develop a support vector machine (SVM)-based classifier to investigate ⍺-helical AMPs and the interrelated nature o...
Antimicrobial Cationic Peptides Amino Acid Sequence Cell Membrane Microbial Sensitivity Tests Models, Theoretical Support Vector Machine X-Ray Diffraction Machine Learning Anti-Bacterial Agents Anti-Infective Agents Peptides
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Transcriptome assists prognosis of disease severity in respiratory syncytial virus infected infants.

Scientific reports Nov 11, 2016
Respiratory syncytial virus (RSV) causes infections that range from common cold to severe lower respiratory tract infection requiring high-level medical care. Prediction of the course of disease in individual patients remains challenging at the first...
Female Infant, Newborn Male Humans Prognosis Bronchiolitis, Viral Respiratory Syncytial Viruses Transcriptome Infant Support Vector Machine Severity of Illness Index Respiratory Syncytial Virus Infections Gene Expression Profiling
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A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement.

PloS one Nov 11, 2016
Risk assessment of congestive heart failure (CHF) is essential for detection, especially helping patients make informed decisions about medications, devices, transplantation, and end-of-life care. The majority of studies have focused on disease detec...
Humans Databases, Factual Prognosis Risk Assessment Severity of Illness Index Case-Control Studies Heart Failure Heart Rate Support Vector Machine Models, Statistical Decision Trees
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Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries.

International journal of medical informatics Nov 9, 2016
Clinical narrative text includes information related to a patient's medical history such as chronological progression of medical problems and clinical treatments. A chronological view of a patient's history makes clinical audits easier and improves q...
Patient Discharge Semantics Pattern Recognition, Automated Machine Learning Electronic Health Records Decision Support Systems, Clinical Support Vector Machine Narration Natural Language Processing Humans
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Development of a sugar-binding residue prediction system from protein sequences using support vector machine.

Computational biology and chemistry Nov 9, 2016
Several methods have been proposed for protein-sugar binding site prediction using machine learning algorithms. However, they are not effective to learn various properties of binding site residues caused by various interactions between proteins and s...
Carbohydrates Binding Sites Support Vector Machine Cluster Analysis Proteins
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Data Mining Aged Nonlinear Dynamics Telemedicine Support Vector Machine Female Male Patient Readmission Humans Risk Assessment Randomized Controlled Trials as Topic Reproducibility of Results Middle Aged Algorithms Time Factors Heart Failure Risk Factors Databases, Factual Logistic Models
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A recurrence model for laryngeal cancer based on SVM and gene function clustering.

Acta oto-laryngologica Nov 4, 2016
CONCLUSION: A prognostic model was obtained for LC. Several critical genes were unveiled. They could be potentially applied for LC recurrence prediction.
Survival Analysis Laryngeal Neoplasms Support Vector Machine Cluster Analysis Humans Neoplasm Recurrence, Local Prognosis Gene Expression Profiling Models, Genetic
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Informing the Human Plasma Protein Binding of Environmental Chemicals by Machine Learning in the Pharmaceutical Space: Applicability Domain and Limits of Predictability.

Journal of chemical information and modeling Nov 3, 2016
The free fraction of a xenobiotic in plasma (F) is an important determinant of chemical adsorption, distribution, metabolism, elimination, and toxicity, yet experimental plasma protein binding data are scarce for environmentally relevant chemicals. T...
Humans Pharmaceutical Preparations Protein Binding Quantitative Structure-Activity Relationship Support Vector Machine Environment Blood Proteins
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Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification.

Neural plasticity Nov 3, 2016
Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency ba...
Imagery, Psychotherapy Electroencephalography Humans Psychomotor Performance Support Vector Machine Motor Skills
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