AIMC Topic: Support Vector Machine

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Expert guided natural language processing using one-class classification.

Journal of the American Medical Informatics Association : JAMIA
INTRODUCTION: Automatically identifying specific phenotypes in free-text clinical notes is critically important for the reuse of clinical data. In this study, the authors combine expert-guided feature (text) selection with one-class classification fo...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Computers in biology and medicine
Glaucoma is among the most common causes of permanent blindness in human. Because the initial symptoms are not evident, mass screening would assist early diagnosis in the vast population. Such mass screening requires an automated diagnosis technique....

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Computers in biology and medicine
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures and 1h EEG and ECG recordings 24h after birth were obtained from 38 newborns with different grades of...

Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

Computers in biology and medicine
BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality after severe trauma. We aimed to identify feature genes associated with the TNF rs1800629 A allele in trauma patients and help to direct them toward ...

A new robust model of one-class classification by interval-valued training data using the triangular kernel.

Neural networks : the official journal of the International Neural Network Society
A robust one-class classification model as an extension of Campbell and Bennett's (C-B) novelty detection model on the case of interval-valued training data is proposed in the paper. It is shown that the dual optimization problem to a linear program ...

Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity.

BioMed research international
Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SAD), there are still no objective biological markers that could be reliably used to identify individuals with SAD. Studies using multivariate pattern a...

Novel structural descriptors for automated colon cancer detection and grading.

Computer methods and programs in biomedicine
The histopathological examination of tissue specimens is necessary for the diagnosis and grading of colon cancer. However, the process is subjective and leads to significant inter/intra observer variation in diagnosis as it mainly relies on the visua...

Surgical planning for horizontal strabismus using Support Vector Regression.

Computers in biology and medicine
Strabismus is a pathology which affects about 4% of the population, causing esthetic problems (reversible at any age) and irreversible sensory disorders, altering the vision mechanism. Many techniques can be applied to settle the muscular balance, th...

Prediction of drug-induced eosinophilia adverse effect by using SVM and naïve Bayesian approaches.

Medical & biological engineering & computing
Drug-induced eosinophilia is a potentially life-threatening adverse effect; clinical manifestations, eosinophilia-myalgia syndrome, mainly include severe skin eruption, fever, hematologic abnormalities, and organ system dysfunction. Using experimenta...

Local configuration pattern features for age-related macular degeneration characterization and classification.

Computers in biology and medicine
Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterized by drusen, Choroidal Neovascularization (CNV) and Geographic Atrophy (GA). AMD is one of the major causes of visual loss among elderly people. It is...