AIMC Topic: Support Vector Machine

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Comparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes.

Iranian biomedical journal Jan 27, 2018
BACKGROUND: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to i...
Female Risk Factors Adult Humans Neural Networks, Computer Algorithms Support Vector Machine Iran Data Mining Male Middle Aged Diabetes Mellitus, Type 2
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Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability.

Molecules (Basel, Switzerland) Jan 27, 2018
Predicting how a point mutation alters a protein's stability can guide pharmaceutical drug design initiatives which aim to counter the effects of serious diseases. Conducting mutagenesis studies in physical proteins can give insights about the effect...
Neural Networks, Computer Protein Conformation Computer Simulation Amino Acid Substitution Support Vector Machine Thermodynamics Proteins Decision Trees Mutation Protein Stability
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Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning.

BMC research notes Jan 27, 2018
OBJECTIVE: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible combinations and variables, statis...
Morphine Gene Frequency Cancer Pain Receptors, Opioid, mu Catechol O-Methyltransferase Receptors, Opioid, delta Support Vector Machine Dose-Response Relationship, Drug Analgesics, Opioid Middle Aged Polymorphism, Single Nucleotide Genotype Aged Male Humans Female
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Drug drug interaction extraction from the literature using a recursive neural network.

PloS one Jan 26, 2018
Detecting drug-drug interactions (DDI) is important because information on DDIs can help prevent adverse effects from drug combinations. Since there are many new DDI-related papers published in the biomedical domain, manually extracting DDI informati...
Drug-Related Side Effects and Adverse Reactions Natural Language Processing Data Mining Publications Pharmacokinetics Humans Drug Interactions Neural Networks, Computer Support Vector Machine
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Prediction analysis and quality assessment of microwell array images.

Electrophoresis Jan 24, 2018
Microwell arrays are widely used for the analysis of fluorescent-labelled biomaterials. For rapid detection and automated analysis of microwell arrays, the computational image analysis is required. Support Vector Machines (SVM) can be used for this t...
Algorithms Light Biological Assay Computer Simulation Microarray Analysis Optical Imaging Support Vector Machine Fluorescent Dyes
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Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG.

Computational intelligence and neuroscience Jan 24, 2018
Needle electromyography can be used to detect the number of changes and morphological changes in motor unit potentials of patients with axonal neuropathy. General mathematical methods of pattern recognition and signal analysis were applied to recogn...
Adult Male Middle Aged Female Entropy Humans Aged Peripheral Nervous System Diseases Support Vector Machine Algorithms Young Adult Signal Processing, Computer-Assisted Electromyography
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A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification.

Computational and mathematical methods in medicine Jan 23, 2018
Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-computer interfaces (BCI). We introduced a feature extraction approach based on frequency domain analysis to improve the classification performance on diffe...
Female Imagination Signal Processing, Computer-Assisted Humans Support Vector Machine Brain-Computer Interfaces Algorithms Electroencephalography Movement Brain
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A Multiple Kernel Learning Model Based on -Norm.

Computational intelligence and neuroscience Jan 23, 2018
By utilizing kernel functions, support vector machines (SVMs) successfully solve the linearly inseparable problems. Subsequently, its applicable areas have been greatly extended. Using multiple kernels (MKs) to improve the SVM classification accuracy...
Algorithms Support Vector Machine Pattern Recognition, Automated Artificial Intelligence
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Modelling the water-plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach.

SAR and QSAR in environmental research Jan 18, 2018
In this study, a support vector machine (SVM) based multi-species QSAR (quantitative structure-activity relationship) model was developed for predicting the water-plant cuticular polymer matrix membrane (MX) partition coefficient, K of diverse chemic...
Water Quantitative Structure-Activity Relationship Support Vector Machine Models, Molecular Plant Stomata Polymers Environmental Pollutants Solanum lycopersicum
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Federated learning of predictive models from federated Electronic Health Records.

International journal of medical informatics Jan 12, 2018
BACKGROUND: In an era of "big data," computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations an...
Databases, Factual Electronic Health Records Hospitalization Humans ROC Curve Machine Learning Support Vector Machine Algorithms
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