AIMC Topic: Support Vector Machine

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A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces.

Journal of neuroscience methods Dec 6, 2018
BACKGROUND: The input signals of electroencephalography (EEG) based brain computer interfaces (BCI) are extensively acquired from scalp with a multi-channel system. However, multi-channel signals might contain redundant information and increase compu...
Brain-Computer Interfaces Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Humans
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Machine learning for identification of surgeries with high risks of cancellation.

Health informatics journal Dec 5, 2018
Surgery cancellations waste scarce operative resources and hinder patients' access to operative services. In this study, the Wilcoxon and chi-square tests were used for predictor selection, and three machine learning models - random forest, support v...
Humans Machine Learning ROC Curve Support Vector Machine General Surgery
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Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques.

Computers in biology and medicine Dec 5, 2018
BACKGROUND AND OBJECTIVE: Glaucoma is a ocular disorder which causes irreversible damage to the retinal nerve fibers. The diagnosis of glaucoma is important as it may help to slow down the progression. The available clinical methods and imaging techn...
Image Interpretation, Computer-Assisted Humans Glaucoma Support Vector Machine Fundus Oculi
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Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Conventional text classification models make a bag-of-words assumption reducing text into word occurrence counts per document. Recent algorithms such as word2vec are capable of learning semantic meaning and similarity between words in an entirely uns...
Semantics Algorithms Decision Trees Logistic Models Humans Support Vector Machine Natural Language Processing Bayes Theorem
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Using Convolutional Neural Networks to Support Insertion of New Concepts into SNOMED CT.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Many major medical ontologies go through a regular (bi-annual, monthly, etc.) release cycle. A new release will contain corrections to the previous release, as well as genuinely new concepts that are the result of either user requests or new developm...
Support Vector Machine Neural Networks, Computer Systematized Nomenclature of Medicine Machine Learning
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Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

PloS one Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
Trisomy 13 Syndrome Young Adult Trisomy 18 Syndrome Adult Diagnosis, Computer-Assisted Support Vector Machine Humans False Negative Reactions Genetic Testing Sequence Analysis, DNA Machine Learning False Positive Reactions High-Throughput Nucleotide Sequencing Diagnosis, Differential Prenatal Diagnosis Down Syndrome Retrospective Studies Pregnancy Female
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.

Environmental science and pollution research international Dec 3, 2018
Leachate is one of the main surface water pollution sources in Selangor State (SS), Malaysia. The prediction of leachate amounts is elementary in sustainable waste management and leachate treatment processes, before discharging to surrounding environ...
Water Pollution, Chemical Hydrology Waste Disposal Facilities Malaysia Artificial Intelligence Models, Theoretical Waste Management Algorithms Gases Support Vector Machine Water Pollutants, Chemical
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MSIpred: a python package for tumor microsatellite instability classification from tumor mutation annotation data using a support vector machine.

Scientific reports Dec 3, 2018
Microsatellite instability (MSI) is characterized by high degree of polymorphism in microsatellite lengths due to deficiency in mismatch repair (MMR) system. MSI is associated with several tumor types and its status can be considered as an important ...
Humans Neoplasms Support Vector Machine Exome Sequencing Microsatellite Instability Molecular Sequence Annotation Programming Languages Databases, Nucleic Acid DNA, Neoplasm
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Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.

PLoS computational biology Dec 3, 2018
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the m...
Algorithms Databases, Factual Animals Humans Neural Networks, Computer Intestines Support Vector Machine Microscopy, Fluorescence Imaging, Three-Dimensional Bacteria Computational Biology Pseudomonas Zebrafish Vibrio
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The Design and Implementation of Cardiotocography Signals Classification Algorithm Based on Neural Network.

Computational and mathematical methods in medicine Dec 3, 2018
Mobile medical care is a hot issue in current medical research. Due to the inconvenience of going to hospital for fetal heart monitoring and the limited medical resources, real-time monitoring of fetal health on portable devices has become an urgent ...
Neural Networks, Computer Algorithms Pregnancy Humans Signal Processing, Computer-Assisted Female Heart Rate, Fetal Support Vector Machine Calibration Cardiotocography
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