AIMC Topic: Support Vector Machine

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Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

Computer methods and programs in biomedicine May 4, 2017
BACKGROUND AND OBJECTIVES: This paper examines the accuracy and efficiency (time complexity) of high performance genetic data feature selection and classification algorithms for colon cancer diagnosis. The need for this research derives from the urge...
Colonic Neoplasms Humans Algorithms Support Vector Machine
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Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine.

PloS one May 4, 2017
To develop an applicable prediction for obstructive sleep apnea (OSA) is still a challenge in clinical practice. We apply a modern machine learning method, the support vector machine to establish a predicting model for the severity of OSA. The suppor...
Severity of Illness Index Models, Theoretical Support Vector Machine Sleep Apnea, Obstructive Adult Anthropometry Male Middle Aged Humans Female
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Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.

IEEE journal of biomedical and health informatics May 3, 2017
Pathology reports are a primary source of information for cancer registries which process high volumes of free-text reports annually. Information extraction and coding is a manual, labor-intensive process. In this study, we investigated deep learning...
Support Vector Machine Neoplasms Humans Diagnosis, Computer-Assisted Artificial Intelligence Electronic Health Records
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QSAR studies of the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by multiple linear regression (MLR) and support vector machine (SVM).

Bioorganic & medicinal chemistry letters May 3, 2017
In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were explored to predict the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by using a ...
Antiviral Agents Support Vector Machine Quantitative Structure-Activity Relationship Hepacivirus Viral Nonstructural Proteins Linear Models Dose-Response Relationship, Drug Protease Inhibitors Serine Proteases Molecular Structure
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Auditory prediction errors as individual biomarkers of schizophrenia.

NeuroImage. Clinical May 3, 2017
Schizophrenia is a complex psychiatric disorder, typically diagnosed through symptomatic evidence collected through patient interview. We aim to develop an objective biologically-based computational tool which aids diagnosis and relies on accessible ...
Auditory Perception Male Pattern Recognition, Automated Middle Aged Female Evoked Potentials Young Adult Humans Support Vector Machine Adult Biomarkers Electroencephalography Schizophrenia
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Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.

Computational and mathematical methods in medicine May 3, 2017
Analysis of quantified voice patterns is useful in the detection and assessment of dysphonia and related phonation disorders. In this paper, we first study the linear correlations between 22 voice parameters of fundamental frequency variability, ampl...
Humans Machine Learning Support Vector Machine Algorithms Parkinson Disease ROC Curve Voice Logistic Models
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Towards Improved Design and Evaluation of Epileptic Seizure Predictors.

IEEE transactions on bio-medical engineering May 2, 2017
OBJECTIVE: Key issues in the epilepsy seizure prediction research are (1) the reproducibility of results (2) the inability to compare multiple approaches directly. To overcome these problems, the seizure prediction challenge was organized on Kaggle.c...
Humans Neural Networks, Computer Electroencephalography Seizures Support Vector Machine Signal Processing, Computer-Assisted Models, Statistical Discriminant Analysis
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A shallow convolutional neural network for blind image sharpness assessment.

PloS one May 1, 2017
Blind image quality assessment can be modeled as feature extraction followed by score prediction. It necessitates considerable expertise and efforts to handcraft features for optimal representation of perceptual image quality. This paper addresses bl...
Humans Support Vector Machine Regression Analysis Algorithms Visual Perception Neural Networks, Computer Color Time Factors Software Image Processing, Computer-Assisted
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A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques.

IEEE journal of biomedical and health informatics Apr 28, 2017
Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications. This study pr...
Signal Processing, Computer-Assisted Data Mining Linear Models Support Vector Machine Blood Pressure Adult Male Photoplethysmography Electrocardiography Blood Pressure Determination Humans Female Young Adult
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A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine.

PloS one Apr 28, 2017
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target proteins (DTPs) from a collected protein dataset, which represents an overwhelming task of great signif...
Molecular Targeted Therapy Biometry Support Vector Machine Proteins
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