AIMC Topic: Support Vector Machine

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Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.

Journal of medical systems Jan 27, 2016
Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand to meet myocardium's metabolic needs. Patients typically present with retrosternal chest pain radiating to neck and left arm. Electrocardiography (ECG...
Adult Male Middle Aged Decision Support Systems, Clinical Logistic Models Electrocardiography Support Vector Machine Reproducibility of Results Risk Factors Aged Aged, 80 and over Humans Neural Networks, Computer Female Sex Factors Age Factors Acute Coronary Syndrome Bayes Theorem Troponin I Chest Pain Creatine Kinase, MB Form
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Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

Computational and mathematical methods in medicine Jan 26, 2016
An automatic method is presented for detecting myocardial ischemia, which can be considered as the early symptom of acute coronary events. Myocardial ischemia commonly manifests as ST- and T-wave changes on ECG signals. The methods in this study are ...
Myocardial Ischemia Wavelet Analysis Humans Europe Sensitivity and Specificity Automation Algorithms Image Processing, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Electrocardiography Support Vector Machine
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Symbolic features and classification via support vector machine for predicting death in patients with Chagas disease.

Computers in biology and medicine Jan 22, 2016
This paper introduces a technique for predicting death in patients with Chagas disease using features extracted from symbolic series and time-frequency indices of heart rate variability (HRV). The study included 150 patients: 15 patients who died and...
Humans Female Predictive Value of Tests Heart Rate Models, Cardiovascular Chagas Cardiomyopathy Survival Rate Male Support Vector Machine
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

Ultrasound in medicine & biology Jan 21, 2016
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs catego...
Ultrasonography, Mammary Models, Biological Observer Variation Image Interpretation, Computer-Assisted Humans Practice Guidelines as Topic Sensitivity and Specificity Pattern Recognition, Automated Machine Learning Breast Neoplasms Female United States Reproducibility of Results Support Vector Machine
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A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.

Sensors (Basel, Switzerland) Jan 21, 2016
Machine learning methods have been widely used for gait assessment through the estimation of spatio-temporal parameters. As a further step, the objective of this work is to propose and validate a general probabilistic modeling approach for the classi...
Monitoring, Ambulatory Accelerometry Paresis Huntington Disease Stroke Gait Markov Chains Machine Learning Female Aged Male Middle Aged Support Vector Machine Signal Processing, Computer-Assisted Humans
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Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video.

IEEE transactions on pattern analysis and machine intelligence Jan 18, 2016
We present a new gesture recognition method that is based on the conditional random field (CRF) model using multiple feature matching. Our approach solves the labeling problem, determining gesture categories and their temporal ranges at the same time...
Hand Pattern Recognition, Automated Humans Algorithms Gestures Support Vector Machine
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A Systematic Strategy for Screening and Application of Specific Biomarkers in Hepatotoxicity Using Metabolomics Combined With ROC Curves and SVMs.

Toxicological sciences : an official journal of the Society of Toxicology Jan 18, 2016
Current studies that evaluate toxicity based on metabolomics have primarily focused on the screening of biomarkers while largely neglecting further verification and biomarker applications. For this reason, we used drug-induced hepatotoxicity as an ex...
Chromatography, High Pressure Liquid Carbon Tetrachloride Acetaminophen Atorvastatin Biomarkers Support Vector Machine Sensitivity and Specificity Metabolomics Animals Liver Male Chemical and Drug Induced Liver Injury ROC Curve Rats, Wistar
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Using Support Vector Machine (SVM) for Classification of Selectivity of H1N1 Neuraminidase Inhibitors.

Molecular informatics Jan 15, 2016
Inhibition of the neuraminidase is one of the most promising strategies for preventing influenza virus spreading. 479 neuraminidase inhibitors are collected for dataset 1 and 208 neuraminidase inhibitors for A/P/8/34 are collected for dataset 2. Usin...
Neuraminidase Computer Simulation Enzyme Inhibitors Antiviral Agents Influenza A Virus, H1N1 Subtype Support Vector Machine Quantitative Structure-Activity Relationship
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Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11.

Scientific reports Jan 14, 2016
Quality assessment of a protein model is to predict the absolute or relative quality of a protein model using computational methods before the native structure is available. Single-model methods only need one model as input and can predict the absolu...
Proteins Models, Molecular Amino Acids Algorithms Protein Conformation ROC Curve Support Vector Machine
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Oil species identification technique developed by Gabor wavelet analysis and support vector machine based on concentration-synchronous-matrix-fluorescence spectroscopy.

Marine pollution bulletin Jan 13, 2016
Concentration-synchronous-matrix-fluorescence (CSMF) spectroscopy was applied to discriminate the oil species by characterizing the concentration dependent fluorescence properties of petroleum related samples. Seven days weathering experiment of 3 cr...
Fluorescence China Petroleum Pollution Principal Component Analysis Spectrometry, Fluorescence Environmental Monitoring Wavelet Analysis Support Vector Machine Petroleum Water Pollutants, Chemical
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