AIMC Topic: Support Vector Machine

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Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier.

Computers in biology and medicine May 24, 2019
The electroencephalogram (EEG) signal contains useful information on physiological states of the brain and has proven to be a potential biomarker to realize the complex dynamic behavior of the brain. Epilepsy is a brain disorder described by recurren...
Aged Child Adult Humans Seizures Middle Aged Male Adolescent Child, Preschool Support Vector Machine Electroencephalography Databases, Factual Brain Female Signal Processing, Computer-Assisted
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Chronic wound assessment and infection detection method.

BMC medical informatics and decision making May 24, 2019
BACKGROUND: Numerous patients suffer from chronic wounds and wound infections nowadays. Until now, the care for wounds after surgery still remain a tedious and challenging work for the medical personnel and patients. As a result, with the help of the...
Algorithms Retrospective Studies Support Vector Machine Cluster Analysis Surgical Wound Infection Humans
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Categorization of free-text drug orders using character-level recurrent neural networks.

International journal of medical informatics May 23, 2019
BACKGROUND AND PURPOSE: Manual annotation and categorization of non-standardized text ("free-text") of drug orders entered into electronic health records is a labor-intensive task. However, standardization is required for drug order analyses and has ...
Machine Learning Electronic Health Records Deep Learning Decision Support Systems, Clinical Neural Networks, Computer Support Vector Machine
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DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Journal of computer-aided molecular design May 23, 2019
DNA-binding proteins (DBPs) participate in various biological processes including DNA replication, recombination, and repair. In the human genome, about 6-7% of these proteins are utilized for genes encoding. DBPs shape the DNA into a compact structu...
DNA-Binding Proteins Binding Sites Position-Specific Scoring Matrices Evolution, Molecular Databases, Protein DNA Algorithms Animals Support Vector Machine Humans Machine Learning
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A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.

ISA transactions May 21, 2019
The safety and public health during nuclear power plant operation can be enhanced by accurately recognizing and diagnosing potential problems when a malfunction occurs. However, there are still obvious technological gaps in fault diagnosis applicatio...
Online Systems Computer Simulation Nuclear Power Plants Support Vector Machine Particulate Matter Algorithms Equipment Failure Analysis
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Weekly ILI patient ratio change prediction using news articles with support vector machine.

BMC bioinformatics May 20, 2019
BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason, detecting influenza infection patterns is critical. However, as the epidemic spread of influenza occurs sporadically and rapidly, it is not easy to e...
Publications Influenza, Human Epidemics Humans Support Vector Machine Internet
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Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

PloS one May 20, 2019
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (V...
Defibrillators Out-of-Hospital Cardiac Arrest Electrocardiography Databases, Factual Support Vector Machine Electrocardiography, Ambulatory Humans Diagnosis, Computer-Assisted Signal Processing, Computer-Assisted Electric Countershock Neural Networks, Computer Deep Learning Ventricular Fibrillation Algorithms
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Predicting nationwide obesity from food sales using machine learning.

Health informatics journal May 19, 2019
The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide surveys to measure the percentage of obese population is costly. Conversely, country-level food sales information can be accessed inexpensively through ...
Humans Machine Learning Support Vector Machine Obesity Food Commerce
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Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

Environmental monitoring and assessment May 19, 2019
Rivers, as the most prominent component of water resources, have a key role to play in increasing the life expectancy of living creatures. The essential characteristics of water pollutants can be described by water quality indices (WQIs). Hence, a fe...
Machine Learning Environmental Monitoring Support Vector Machine Neural Networks, Computer Rivers Multivariate Analysis Biological Oxygen Demand Analysis Water Pollutants Regression Analysis Iran Water Quality
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Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.

The international journal of cardiovascular imaging May 18, 2019
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-...
Humans Clinical Decision-Making Female Aged Ventricular Remodeling Image Interpretation, Computer-Assisted Treatment Outcome Support Vector Machine Predictive Value of Tests Heart Failure Cardiac Resynchronization Therapy Signal Processing, Computer-Assisted Echocardiography Patient Selection Aged, 80 and over Middle Aged Male Electrocardiography Ventricular Function, Left
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