AIMC Topic: Support Vector Machine

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An Intelligent Decision System for Intraoperative Somatosensory Evoked Potential Monitoring.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2015
Somatosensory evoked potential (SEP) is a useful, noninvasive technique widely used for spinal cord monitoring during surgery. One of the main indicators of a spinal cord injury is the drop in amplitude of the SEP signal in comparison to the nominal ...
False Positive Reactions Spinal Cord Injuries Support Vector Machine Least-Squares Analysis Spinal Cord Decision Making, Computer-Assisted Evoked Potentials, Somatosensory Artificial Intelligence Algorithms Computer Systems Intraoperative Neurophysiological Monitoring Humans
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A Method for Automatic and Objective Scoring of Bradykinesia Using Orientation Sensors and Classification Algorithms.

IEEE transactions on bio-medical engineering Sep 18, 2015
Correct assessment of bradykinesia is a key element in the diagnosis and monitoring of Parkinson's disease. Its evaluation is based on a careful assessment of symptoms and it is quantified using rating scales, where the Movement Disorders Society-Spo...
Humans Female Aged Male Middle Aged Diagnosis, Computer-Assisted Parkinson Disease Hypokinesia Support Vector Machine Supervised Machine Learning Fingers
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Genome-wide prediction of prokaryotic two-component system networks using a sequence-based meta-predictor.

BMC bioinformatics Sep 18, 2015
BACKGROUND: Two component systems (TCS) are signalling complexes manifested by a histidine kinase (receptor) and a response regulator (effector). They are the most abundant signalling pathways in prokaryotes and control a wide range of biological pro...
Area Under Curve Bacterial Proteins Protein Kinases Genome, Bacterial Protein Interaction Maps Bacteria Support Vector Machine Histidine Kinase ROC Curve
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Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis.

Cell reports Sep 17, 2015
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient, with about half of the events terminated. These CME efficiency estimates may have been confounded b...
Mammary Glands, Human Exons Adaptor Protein Complex 2 Clathrin Dynamin II Dynamins Genome, Human Introns Endocytosis Molecular Sequence Data Support Vector Machine Epithelial Cells Base Sequence Humans Female Cell Line, Tumor
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Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 16, 2015
Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme e...
Support Vector Machine Fuzzy Logic Pattern Recognition, Automated Fear Motion Pictures Humans Machine Learning Image Processing, Computer-Assisted
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Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

American journal of Alzheimer's disease and other dementias Sep 14, 2015
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. Th...
Support Vector Machine Data Interpretation, Statistical Alzheimer Disease Humans Algorithms Diagnosis, Computer-Assisted
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Machine learning classification of mesial temporal sclerosis in epilepsy patients.

Epilepsy research Sep 9, 2015
BACKGROUND AND PURPOSE: Novel approaches applying machine-learning methods to neuroimaging data seek to develop individualized measures that will aid in the diagnosis and treatment of brain-based disorders such as temporal lobe epilepsy (TLE). Using ...
Support Vector Machine Humans Algorithms Magnetic Resonance Imaging Machine Learning Male Female Organ Size Epilepsy, Temporal Lobe Middle Aged Young Adult Hippocampus Temporal Lobe Image Processing, Computer-Assisted Adult Sclerosis
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An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.

International journal of molecular sciences Sep 7, 2015
Antifreeze proteins (AFPs) play a pivotal role in the antifreeze effect of overwintering organisms. They have a wide range of applications in numerous fields, such as improving the production of crops and the quality of frozen foods. Accurate identif...
Algorithms Internet Reproducibility of Results Analysis of Variance Computational Biology Web Browser Support Vector Machine Antifreeze Proteins
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Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Imaging, Three-Dimensional Humans Support Vector Machine Machine Learning Hippocampus Gyrus Cinguli Temporal Lobe Brain Connectome Epilepsy, Temporal Lobe Globus Pallidus Diffusion Tensor Imaging Retrospective Studies Male Nucleus Accumbens Frontal Lobe Female Occipital Lobe Middle Aged Young Adult Case-Control Studies Adult
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The "Reading the Mind in the Eyes" Test: Complete Absence of Typical Sex Difference in ~400 Men and Women with Autism.

PloS one Aug 27, 2015
The "Reading the Mind in the Eyes" test (Eyes test) is an advanced test of theory of mind. Typical sex difference has been reported (i.e., female advantage). Individuals with autism show more difficulty than do typically developing individuals, yet i...
Reading Adult Male Support Vector Machine Humans Sex Characteristics Autism Spectrum Disorder Female
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