AIMC Topic: Support Vector Machine

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EEG based Classification of Long-term Stress Using Psychological Labeling.

Sensors (Basel, Switzerland) Mar 29, 2020
Stress research is a rapidly emerging area in the field of electroencephalography (EEG) signal processing. The use of EEG as an objective measure for cost effective and personalized stress management becomes important in situations like the nonavaila...
Humans Machine Learning Algorithms Female Young Adult Adult Electroencephalography Male Signal Processing, Computer-Assisted Stress, Psychological Brain-Computer Interfaces Support Vector Machine
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Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

European radiology Mar 28, 2020
OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) in the classification of the pulmonary lesion and identify optimal machine learning methods.
Support Vector Machine Lung Diseases Multiparametric Magnetic Resonance Imaging Lung Cohort Studies ROC Curve Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Aged Young Adult
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HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Mar 28, 2020
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities. Even though considerable efforts have been devoted to developing powerful computational ...
Databases, Protein ROC Curve Humans Computational Biology Machine Learning Support Vector Machine Amino Acid Sequence Algorithms Markov Chains Amino Acids DNA-Binding Proteins
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Supervised machine learning for source allocation of per- and polyfluoroalkyl substances (PFAS) in environmental samples.

Chemosphere Mar 25, 2020
Environmental contamination by per- and polyfluoroalkyl substances (PFAS) is widespread, because of both their decades of use, and their persistence in the environment. These factors can make identification of the source of contamination in samples a...
Neural Networks, Computer Machine Learning Environmental Monitoring Support Vector Machine Environmental Pollutants Resource Allocation Fluorocarbons
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Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning.

Sensors (Basel, Switzerland) Mar 25, 2020
Mixing is one of the most common processes across food, chemical, and pharmaceutical manufacturing. Real-time, in-line sensors are required for monitoring, and subsequently optimising, essential processes such as mixing. Ultrasonic sensors are low-co...
Food Analysis Drug Compounding Ultrasonics Algorithms Deep Learning Support Vector Machine Humans Neural Networks, Computer Machine Learning
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Discrimination of and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked Generalization.

Molecules (Basel, Switzerland) Mar 23, 2020
, which is one of the largest genera of Gentianoideae, most of which had potential pharmaceutical value, and applied to local traditional medical treatment. Because of the phytochemical diversity and difference of bioactive compounds among species, w...
Gentiana Support Vector Machine Spectroscopy, Fourier Transform Infrared Plants, Medicinal
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Deep Learning Classification for Diabetic Foot Thermograms.

Sensors (Basel, Switzerland) Mar 22, 2020
According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the most prevalent diseases in the world. It is also associated with a high mortality index. Diabetic foot is one of its main complications, and it comprises the devel...
Humans Support Vector Machine Diabetic Foot Thermography Artificial Intelligence Machine Learning Deep Learning
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Fuzzy support vector machine-based personalizing method to address the inter-subject variance problem of physiological signals in a driver monitoring system.

Artificial intelligence in medicine Mar 21, 2020
Physiological signals can be utilized to monitor conditions of a driver, but the inter-subject variance of physiological signals can degrade the classification accuracy of the monitoring system. Personalization of the system using the data of a teste...
Support Vector Machine Fuzzy Logic Monitoring, Physiologic Time Factors
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Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.

Sensors (Basel, Switzerland) Mar 21, 2020
The main purpose of the study was to develop a high accuracy system able to diagnose skin lesions using deep learning-based methods. We propose a new decision system based on multiple classifiers like neural networks and feature-based methods. Each c...
Deep Learning Support Vector Machine Skin Diseases Humans Artificial Intelligence Neural Networks, Computer Machine Learning Algorithms
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Humans Neural Networks, Computer Motor Cortex Transcranial Magnetic Stimulation Upper Extremity Support Vector Machine Stroke Rehabilitation Magnetic Resonance Imaging Evoked Potentials, Motor Chronic Disease Stroke Exercise Therapy Male Outcome Assessment, Health Care Machine Learning Middle Aged Female Severity of Illness Index Aged
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