AIMC Topic: Support Vector Machine

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A Machine Learning-based Surface Electromyography Topography Evaluation for Prognostic Prediction of Functional Restoration Rehabilitation in Chronic Low Back Pain.

Spine Nov 1, 2017
STUDY DESIGN: A retrospective study.
Female Adult Male Machine Learning Prognosis Retrospective Studies Electromyography Low Back Pain Physical Therapy Modalities Chronic Pain Middle Aged Support Vector Machine Recovery of Function Humans
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Active learning for bird sound classification via a kernel-based extreme learning machine.

The Journal of the Acoustical Society of America Oct 1, 2017
In recent years, research fields, including ecology, bioacoustics, signal processing, and machine learning, have made bird sound recognition a part of their focus. This has led to significant advancements within the field of ornithology, such as impr...
Supervised Machine Learning Acoustics Pattern Recognition, Automated Birds Support Vector Machine Signal Processing, Computer-Assisted Vocalization, Animal Databases, Factual Animals
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Estimation of hydraulic jump characteristics of channels with sudden diverging side walls via SVM.

Water science and technology : a journal of the International Association on Water Pollution Research Oct 1, 2017
Sudden diverging channels are one of the energy dissipaters which can dissipate most of the kinetic energy of the flow through a hydraulic jump. An accurate prediction of hydraulic jump characteristics is an important step in designing hydraulic stru...
Support Vector Machine Base Sequence Water Movements Sanitary Engineering Algorithms Models, Theoretical
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DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding.

Bioinformatics (Oxford, England) Oct 1, 2017
MOTIVATION: Transcription factors (TFs) bind to specific DNA sequence motifs. Several lines of evidence suggest that TF-DNA binding is mediated in part by properties of the local DNA shape: the width of the minor groove, the relative orientations of ...
DNA Transcription Factors Nucleotide Motifs DNA-Binding Proteins Software Nucleic Acid Conformation Support Vector Machine Protein Array Analysis Protein Binding Sequence Analysis, DNA Binding Sites Genomics
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Models, Theoretical Support Vector Machine Natural Language Processing ROC Curve Logistic Models United States Machine Learning
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SVMQA: support-vector-machine-based protein single-model quality assessment.

Bioinformatics (Oxford, England) Aug 15, 2017
MOTIVATION: The accurate ranking of predicted structural models and selecting the best model from a given candidate pool remain as open problems in the field of structural bioinformatics. The quality assessment (QA) methods used to address these prob...
Models, Molecular Quality Control Computational Biology Caspase 8 Support Vector Machine Caspase 9 Protein Conformation Caspase 10
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Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.

Cancer cell Aug 14, 2017
Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable effi...
Adult Biomarkers, Tumor Male Carcinoma, Non-Small-Cell Lung Female Humans Middle Aged High-Throughput Nucleotide Sequencing Cohort Studies Aged Artificial Intelligence Gene Expression Profiling Blood Platelets Lung Neoplasms Aged, 80 and over Algorithms Diagnosis, Computer-Assisted Inflammation Support Vector Machine
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Establishing a Classification System for High Fall-Risk Among Inpatients Using Support Vector Machines.

Computers, informatics, nursing : CIN Aug 1, 2017
We constructed a model using a support vector machine to determine whether an inpatient will suffer a fall on a given day, depending on patient status on the previous day. Using fall report data from our own facility and intensity-of-nursing-care-nee...
Male Risk Assessment Hospitals Inpatients Nurse's Role Accidental Falls Support Vector Machine Humans Electronic Health Records Female
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Daily runoff prediction using the linear and non-linear models.

Water science and technology : a journal of the International Association on Water Pollution Research Aug 1, 2017
Runoff prediction, as a nonlinear and complex process, is essential for designing canals, water management and planning, flood control and predicting soil erosion. There are a number of techniques for runoff prediction based on the hydro-meteorologic...
Neural Networks, Computer Meteorology Support Vector Machine Nonlinear Dynamics
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
Datasets as Topic MicroRNAs RNA Precursors Humans Least-Squares Analysis Multifactor Dimensionality Reduction Sequence Analysis, RNA Benchmarking Support Vector Machine
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