AIMC Topic: Support Vector Machine

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Bimolecular Nucleophilic Substitution Reactions: Predictive Models for Rate Constants and Molecular Reaction Pairs Analysis.

Molecular informatics Nov 23, 2018
Here, we report the data visualization, analysis and modeling for a large set of 4830 S 2 reactions the rate constant of which (logk) was measured at different experimental conditions (solvent, temperature). The reactions were encoded by one single m...
Kinetics Hydrocarbons, Cyclic Support Vector Machine Oxidation-Reduction Models, Chemical
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Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.

Journal of medical Internet research Nov 21, 2018
BACKGROUND: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data often relies on hand coding of images, which is time-consuming and cos...
Social Media Smoking Water Pipes Humans Neural Networks, Computer Support Vector Machine
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The application of machine learning algorithms in understanding the effect of core/shell technique on improving powder compactability.

International journal of pharmaceutics Nov 20, 2018
This study systemically investigated the application of core/shell technique to improve powder compactability. A 28-run Design-of-Experiment (DoE) was conducted to evaluate the effects of the type of core and shell materials and their concentrations ...
Algorithms Models, Theoretical Support Vector Machine Powders Drug Compounding Chemistry, Pharmaceutical Neural Networks, Computer Machine Learning
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Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units.

Scientific reports Nov 20, 2018
Unplanned extubation (UE) can be associated with fatal outcome; however, an accurate model for predicting the mortality of UE patients in intensive care units (ICU) is lacking. Therefore, we aim to compare the performances of various machine learning...
APACHE Airway Extubation Glasgow Coma Scale Logistic Models Support Vector Machine Machine Learning Taiwan Intensive Care Units Middle Aged Humans Female Hospital Mortality Aged ROC Curve Aged, 80 and over Male
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Automated detection of imaging features of disproportionately enlarged subarachnoid space hydrocephalus using machine learning methods.

NeuroImage. Clinical Nov 19, 2018
OBJECTIVE: Create an automated classifier for imaging characteristics of disproportionately enlarged subarachnoid space hydrocephalus (DESH), a neuroimaging phenotype of idiopathic normal pressure hydrocephalus (iNPH).
Male ROC Curve Support Vector Machine Humans Aged Machine Learning Aged, 80 and over Brain Magnetic Resonance Imaging Sensitivity and Specificity Female Hydrocephalus, Normal Pressure Subarachnoid Space
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SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.

BMC bioinformatics Nov 19, 2018
BACKGROUND: Support vector machines (SVM) are a powerful tool to analyze data with a number of predictors approximately equal or larger than the number of observations. However, originally, application of SVM to analyze biomedical data was limited be...
Support Vector Machine Computer Graphics Liver Cirrhosis, Biliary Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Lung Neoplasms Humans Algorithms Survival Rate
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Learning protein binding affinity using privileged information.

BMC bioinformatics Nov 15, 2018
BACKGROUND: Determining protein-protein interactions and their binding affinity are important in understanding cellular biological processes, discovery and design of novel therapeutics, protein engineering, and mutagenesis studies. Due to the time an...
Machine Learning Protein Binding Algorithms Proteins Amino Acid Sequence Computational Biology Reproducibility of Results Ligands Support Vector Machine ROC Curve
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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.

Computational intelligence and neuroscience Nov 15, 2018
Detection of defects including cracks and spalls on wall surface in high-rise buildings is a crucial task of buildings' maintenance. If left undetected and untreated, these defects can significantly affect the structural integrity and the aesthetic a...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Image Processing, Computer-Assisted Machine Learning Support Vector Machine Algorithms Least-Squares Analysis
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Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

Computers in biology and medicine Nov 10, 2018
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with obstructive type of lung diseases. The previous works on wheeze-type classification focused mainly on using fixed time-frequency/scale resolution base...
Respiratory Sounds Humans Signal Processing, Computer-Assisted Lung Lung Diseases Support Vector Machine Wavelet Analysis
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Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Scientific reports Nov 9, 2018
Lung cancer is still one of the most common causes of death around the world, while there is overwhelming evidence that the environment and lifestyle factors are predominant causes of most sporadic cancers. However, when applying human-behaviour indi...
Aged, 80 and over Male Lung Neoplasms Female Smoking Risk Factors Humans Alcohol Drinking Socioeconomic Factors Aged Neural Networks, Computer Feeding Behavior Databases, Factual Support Vector Machine Environmental Exposure
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