AIMC Topic: Support Vector Machine

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A superpixel-driven deep learning approach for the analysis of dermatological wounds.

Computer methods and programs in biomedicine Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Humans Machine Learning Algorithms Diagnosis, Computer-Assisted Deep Learning Reproducibility of Results Sensitivity and Specificity Skin Ulcer Image Processing, Computer-Assisted Support Vector Machine Principal Component Analysis Area Under Curve Bayes Theorem Dermatology Pattern Recognition, Automated
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Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 11, 2019
Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram (EEG) signals of patients with epilepsy, their conditions can be monito...
Epilepsy Seizures Fourier Analysis Fuzzy Logic Principal Component Analysis Humans Electroencephalography Neural Networks, Computer Reproducibility of Results Support Vector Machine Machine Learning Algorithms
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Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.

Journal of medical engineering & technology Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Head Databases, Factual Humans Ultrasonography Fetus Prenatal Diagnosis Image Processing, Computer-Assisted Gestational Age Biometry Support Vector Machine Brain
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Identification of potential histone deacetylase1 (HDAC1) inhibitors using multistep virtual screening approach including SVM model, pharmacophore modeling, molecular docking and biological evaluation.

Journal of biomolecular structure & dynamics Sep 9, 2019
Histone Deacetylases (HDACs) play a significant role in the regulation of gene expression by modifying histones and non-histone substrates. Since they are key regulators in the reversible epigenetic mechanism, they are considered as promising drug ta...
Histones Molecular Docking Simulation Support Vector Machine Histone Deacetylase Inhibitors Small Molecule Libraries Molecular Dynamics Simulation Histone Deacetylases Quantitative Structure-Activity Relationship
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A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.

Computational intelligence and neuroscience Sep 9, 2019
Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals and families. Recently, electroencephalography- (EEG-) based physiological and brain activities for fatigue detection have been increasingly investigated. H...
Brain Humans Brain-Computer Interfaces Electroencephalography Support Vector Machine Neural Networks, Computer Signal Processing, Computer-Assisted Cluster Analysis Algorithms Automobile Driving
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Backpropagation With N -D Vector-Valued Neurons Using Arbitrary Bilinear Products.

IEEE transactions on neural networks and learning systems Sep 6, 2019
Vector-valued neural learning has emerged as a promising direction in deep learning recently. Traditionally, training data for neural networks (NNs) are formulated as a vector of scalars; however, its performance may not be optimal since associations...
Humans Neural Networks, Computer Deep Learning Support Vector Machine Neurons
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Integration of Cancer Genomics Data for Tree-based Dimensionality Reduction and Cancer Outcome Prediction.

Molecular informatics Sep 6, 2019
Accurate outcome prediction is crucial for precision medicine and personalized treatment of cancer. Researchers have found that multi-dimensional cancer omics studies outperform each data type (mRNA, microRNA, methylation or somatic copy number alter...
Carcinoma, Non-Small-Cell Lung Databases, Genetic MicroRNAs Decision Trees Lung Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Glioblastoma Humans Cohort Studies
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Nonconvulsive epileptic seizure monitoring with incremental learning.

Computers in biology and medicine Sep 6, 2019
Nonconvulsive epileptic seizures (NCSz) and nonconvulsive status epilepticus (NCSE) are two neurological entities associated with increment in morbidity and mortality in critically ill patients. In a previous work, we introduced a method which accura...
Electroencephalography Seizures Signal Processing, Computer-Assisted Middle Aged Adolescent Support Vector Machine Humans Machine Learning Adult Female Male Young Adult
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CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

Cardiovascular and interventional radiology Sep 5, 2019
INTRODUCTION: To assess the performance of pre-ablation computed tomography texture features of adrenal metastases to predict post-treatment local progression and survival in patients who underwent ablation using machine learning as a prediction tool...
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning Support Vector Machine Adrenal Gland Neoplasms Survival Analysis Proportional Hazards Models Pilot Projects Ablation Techniques ROC Curve Male Treatment Outcome Middle Aged Disease Progression
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

International journal of computer assisted radiology and surgery Sep 4, 2019
PURPOSE: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to treat them. A statistical model could potentially support such treatment decisions. The aim of this study was to compare a previously developed aneurysm...
Decision Trees Aneurysm, Ruptured Intracranial Aneurysm Humans Hemodynamics ROC Curve Support Vector Machine Models, Statistical
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