AIMC Topic: Support Vector Machine

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Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.

PloS one May 11, 2015
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when t...
Animals Models, Theoretical Environment Support Vector Machine Male Humans Insect Vectors Thailand Dengue Virus Climate Algorithms Severe Dengue Incidence Morbidity Female Aedes Reproducibility of Results
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Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Male Child Treatment Outcome Support Vector Machine Age Factors Humans Brain Prognosis Female Methylphenidate Drug Therapy, Computer-Assisted Norepinephrine Plasma Membrane Transport Proteins Receptors, Adrenergic, alpha-2 Rest Polymorphism, Genetic Magnetic Resonance Imaging Stroop Test Central Nervous System Stimulants Lead Attention Deficit Disorder with Hyperactivity Cotinine Body Weight
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A support vector machine tool for adaptive tomotherapy treatments: Prediction of head and neck patients criticalities.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 6, 2015
PURPOSE: Adaptive radiation therapy (ART) is an advanced field of radiation oncology. Image-guided radiation therapy (IGRT) methods can support daily setup and assess anatomical variations during therapy, which could prevent incorrect dose distributi...
Algorithms Unsupervised Machine Learning Retrospective Studies Radiotherapy Planning, Computer-Assisted Humans Radiotherapy, Image-Guided Female Male Middle Aged Head and Neck Neoplasms Support Vector Machine
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A Robust Deep Model for Improved Classification of AD/MCI Patients.

IEEE journal of biomedical and health informatics May 4, 2015
Accurate classification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI), plays a critical role in possibly preventing progression of memory impairment and improving quality of life for AD patients. Among many rese...
Humans Machine Learning Principal Component Analysis Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Early Diagnosis Cognitive Dysfunction Models, Theoretical Support Vector Machine Magnetic Resonance Imaging
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Recurrence quantification analysis and support vector machines for golf handicap and low back pain EMG classification.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology May 2, 2015
The quantification of non-linear characteristics of electromyography (EMG) must contain information allowing to discriminate neuromuscular strategies during dynamic skills. There are a lack of studies about muscle coordination under motor constrains ...
Evaluation Studies as Topic Electromyography Low Back Pain Golf Male Middle Aged Support Vector Machine Muscle, Skeletal Female Aged Adult Humans
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Registries Burns Body Surface Area Wales Smoke Inhalation Injury Support Vector Machine Age Factors Models, Statistical Bayes Theorem Child, Preschool Child ROC Curve Logistic Models Decision Support Techniques Female Young Adult Adult Infant Humans Male England Neural Networks, Computer Risk Assessment Machine Learning Adolescent Software
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Evaluation of vermillion border descriptors and relevance vector machines discrimination model for making probabilistic predictions of solar cheilosis on digital lip photographs.

Computers in biology and medicine Apr 25, 2015
INTRODUCTION: Solar cheilosis (SC), a common precancer of the lower lip with a high potential to progress to invasive squamous cell carcinoma, presents with characteristic morphological vermillion-skin border alterations, like the border retraction.
Lip Neoplasms Support Vector Machine Precancerous Conditions Humans Photography Female Lip Male Image Processing, Computer-Assisted
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Using support vector machines to improve elemental ion identification in macromolecular crystal structures.

Acta crystallographica. Section D, Biological crystallography Apr 25, 2015
In the process of macromolecular model building, crystallographers must examine electron density for isolated atoms and differentiate sites containing structured solvent molecules from those containing elemental ions. This task requires specific know...
Algorithms Zinc Metals Iron Nickel Calcium Support Vector Machine Models, Molecular Macromolecular Substances Manganese Crystallography, X-Ray Protein Conformation
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Automatic supporting system for regionalization of ventricular tachycardia exit site in implantable defibrillators.

PloS one Apr 24, 2015
Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey useful information for roughly determining the anatomical location of the Left Ventricular Tachycardia exit site (LVTES). Our aim here was to evaluate...
Male Middle Aged Electrocardiography Support Vector Machine Humans Female Reproducibility of Results Aged Tachycardia, Ventricular Defibrillators, Implantable
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A global optimization approach to multi-polarity sentiment analysis.

PloS one Apr 24, 2015
Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification. While info...
Support Vector Machine Social Media Humans Data Interpretation, Statistical Algorithms Data Mining Information Theory
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