AIMC Topic: Support Vector Machine

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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Predictive Value of Tests Male Support Vector Machine Humans Aged Middle Aged Brain Injuries, Traumatic Neural Networks, Computer Bayes Theorem Aged, 80 and over Decision Trees Young Adult Abbreviated Injury Scale Machine Learning ROC Curve Taiwan Adult Female Logistic Models
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Performance assessment of artificial neural networks and support vector regression models for stream flow predictions.

Environmental monitoring and assessment Nov 8, 2018
Water resources planning, development, and management need reliable forecasts of river flows. In past few decades, an important dimension has been introduced in the prediction of the hydrologic phenomenon through artificial intelligence-based modelin...
Neural Networks, Computer Artificial Intelligence Algorithms Environmental Monitoring Support Vector Machine Pakistan Rivers Water Movements Hydrology
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Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.

International journal of speech-language pathology Nov 8, 2018
: This research aimed to automatically predict intelligible speaking rate for individuals with Amyotrophic Lateral Sclerosis (ALS) based on speech acoustic and articulatory samples. Twelve participants with ALS and two normal subjects produced a tot...
Speech Intelligibility Speech Acoustics Speech Production Measurement Humans Speech Disorders Female Middle Aged Aged Support Vector Machine Adult Amyotrophic Lateral Sclerosis Male Speech Recognition Software
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Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Scientific reports Nov 6, 2018
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen...
Ovarian Neoplasms Predictive Value of Tests Fluorouracil Genome, Human Neoplasms Transcriptome Computational Biology Support Vector Machine Antimetabolites, Antineoplastic Deoxycytidine Gemcitabine Humans Machine Learning Algorithms Databases, Factual Precision Medicine Female Biomarkers, Tumor
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Visual attention mechanism and support vector machine based automatic image annotation.

PloS one Nov 6, 2018
Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords. Currently mos...
Algorithms Databases, Factual Image Processing, Computer-Assisted Models, Theoretical Support Vector Machine Humans Attention Image Interpretation, Computer-Assisted Visual Perception
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Coarse-to-fine information integration in human vision.

NeuroImage Nov 4, 2018
Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial frequencies (LSF) of visual input guides the integration of finer, high spatial frequency (HSF) detail. Whether and how LSF modulates HSF processing in n...
Electroencephalography Pattern Recognition, Automated Cerebral Cortex Evoked Potentials Adult Male Time Factors Visual Perception Support Vector Machine Facial Recognition Humans Female Young Adult
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Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

Biological psychology Nov 4, 2018
OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs) like updating, inhibition and shifting play an important role in WM functioning. The models state that EFs highly correlate with each other but also ...
Executive Function Memory, Short-Term Psychomotor Performance Cerebral Cortex Inhibition, Psychological Adult Male Support Vector Machine Humans Electroencephalography Female Young Adult
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A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.

Medical & biological engineering & computing Nov 3, 2018
This paper presents a unified approach based on the recurrence quantification analysis (RQA) and approximate entropy (ApEn) for the classification of heart rate variability (HRV). In this paper, the optimum tolerance threshold (r) corresponding to Ap...
Support Vector Machine Aged Age Factors Aged, 80 and over Humans Nonlinear Dynamics Data Interpretation, Statistical Adult Neural Networks, Computer Entropy Heart Rate Middle Aged Databases, Factual Models, Cardiovascular
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Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector.

Journal of medical systems Nov 3, 2018
Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and encloses the spine and the brain inside the skull. It accounts for 30% of all types of brain tumor. Meningioma's can occur in many parts of the brain and...
Brain Neoplasms Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Fuzzy Logic Humans Meningioma
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A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.

Journal of medical systems Nov 3, 2018
Skeletal bone age assessment is a widely used standard procedure in both disease detection and growth prediction for children in endocrinology. Conventional manual assessment methods mainly rely on personal experience in observing X-ray images of lef...
Male Infant Adolescent Child, Preschool Neural Networks, Computer Algorithms Female Infant, Newborn Wrist Hand Sex Factors Racial Groups Age Determination by Skeleton Child Image Processing, Computer-Assisted Humans Support Vector Machine Age Factors
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