AIMC Topic: Support Vector Machine

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Automatic epileptic seizure detection in EEGs using MF-DFA, SVM based on cloud computing.

Journal of X-ray science and technology Jan 1, 2017
BACKGROUND: Epilepsy is a chronic disease with transient brain dysfunction that results from the sudden abnormal discharge of neurons in the brain. Since electroencephalogram (EEG) is a harmless and noninvasive detection method, it plays an important...
Signal Processing, Computer-Assisted Cloud Computing Support Vector Machine Electroencephalography Epilepsy Humans
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A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2017
Traditional gene selection methods for microarray data mainly considered the features' relevance by evaluating their utility for achieving accurate predication or exploiting data variance and distribution, and the selected genes were usually poorly e...
Algorithms Crowding Computer Simulation Gene Expression Profiling Models, Biological Reproducibility of Results Support Vector Machine Biomimetics Sensitivity and Specificity Models, Statistical Oligonucleotide Array Sequence Analysis
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Editorial.

Computer methods and programs in biomedicine Jan 1, 2017
Coronary Artery Disease Humans Artificial Intelligence Precision Medicine Case-Control Studies Support Vector Machine
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Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy.

Journal of computer assisted tomography Jan 1, 2017
OBJECTIVE: The aim of this study was to diagnose lymph node metastasis of esophageal cancer by support vector machines model based on computed tomography.
Adult Male Middle Aged Tomography, X-Ray Computed Female Support Vector Machine Aged Humans Lymphatic Metastasis Retrospective Studies Esophageal Neoplasms Image Processing, Computer-Assisted Lymph Nodes Neoadjuvant Therapy
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Detection of Dendritic Spines Using Wavelet Packet Entropy and Fuzzy Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
The morphology of dendritic spines is highly correlated with the neuron function. Therefore, it is of positive influence for the research of the dendritic spines. However, it is tried to manually label the spine types for statistical analysis. In thi...
Models, Statistical Wavelet Analysis Entropy Dendritic Spines Image Processing, Computer-Assisted Microscopy, Confocal Support Vector Machine Cells, Cultured Animals
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Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning.

CNS & neurological disorders drug targets Jan 1, 2017
This paper presents an automatic classification system for segregating pathological brain from normal brains in magnetic resonance imaging scanning. The proposed system employs contrast limited adaptive histogram equalization scheme to enhance the di...
Magnetic Resonance Imaging Models, Neurological Image Interpretation, Computer-Assisted Computer Simulation Sensitivity and Specificity Support Vector Machine Pattern Recognition, Automated Brain Diseases Wavelet Analysis Humans Brain
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Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have...
Humans Brain Retrospective Studies Diagnosis, Differential Glioblastoma Nonlinear Dynamics Image Interpretation, Computer-Assisted Support Vector Machine Sensitivity and Specificity Lymphoma Brain Neoplasms Magnetic Resonance Imaging Imaging, Three-Dimensional
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Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix.

Oncotarget Dec 13, 2016
Self-interacting Proteins (SIPs) play an essential role in a wide range of biological processes, such as gene expression regulation, signal transduction, enzyme activation and immune response. Because of the limitations for experimental self-interact...
Sequence Analysis, Protein Humans Position-Specific Scoring Matrices Principal Component Analysis Fungal Proteins Protein Interaction Mapping Computational Biology Support Vector Machine Databases, Protein
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High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplankton.

Optics express Dec 12, 2016
Time-stretch imaging has been regarded as an attractive technique for high-throughput imaging flow cytometry primarily owing to its real-time, continuous ultrafast operation. Nevertheless, two key challenges remain: (1) sufficiently high time-stretch...
Phytoplankton Algorithms Single-Cell Analysis Pattern Recognition, Automated Support Vector Machine Flow Cytometry
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An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.

Oncotarget Nov 22, 2016
Preoperatively predict the probability of Prostate cancer (PCa) biochemical recurrence (BCR) is of definite clinical relevance. The purpose of this study was to develop an imaging-based approach in the prediction of 3-years BCR through a novel suppor...
Prostatic Neoplasms Prostatectomy Humans Prognosis Aged Male Treatment Outcome Logistic Models Support Vector Machine Nomograms Predictive Value of Tests
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