AIMC Topic: Support Vector Machine

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Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
An important aspect of post-marketing drug surveillance involves identifying potential side-effects utilizing adverse drug event (ADE) reporting systems and/or Electronic Health Records. These data are noisy, necessitating identified drug/ADE associa...
Adverse Drug Reaction Reporting Systems ROC Curve Humans Product Surveillance, Postmarketing Models, Theoretical Machine Learning Support Vector Machine Electronic Health Records Drug-Related Side Effects and Adverse Reactions
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Improving Endpoint Detection to Support Automated Systematic Reviews.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Authors of biomedical articles use comparison sentences to communicate the findings of a study, and to compare the results of the current study with earlier studies. The Claim Framework defines a comparison claim as a sentence that includes at least ...
Humans Publications Biomedical Research Linguistics Natural Language Processing Animals Meta-Analysis as Topic Diabetes Mellitus Review Literature as Topic Support Vector Machine
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A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have been identified, but individual level prediction remains elusive. As an effort to bridge the gap bet...
Feasibility Studies Humans Algorithms Male Decision Support Techniques Stress Disorders, Post-Traumatic Female Decision Support Systems, Clinical Risk Factors Support Vector Machine
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Automatic Generation of Conditional Diagnostic Guidelines.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure. In this work we employ a th...
Natural Language Processing Practice Guidelines as Topic Diagnosis Humans Support Vector Machine
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Structured Pyramidal Neural Networks.

International journal of neural systems Feb 9, 2017
The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper prop...
Pyramidal Cells Visual Pathways ROC Curve Image Processing, Computer-Assisted Support Vector Machine Models, Neurological Area Under Curve Pattern Recognition, Automated Blood Cells Humans Neural Networks, Computer Female Male Time Factors
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Algorithms Patient Safety Computer Simulation Sensitivity and Specificity Humans Area Under Curve Drug Monitoring Pharmaceutical Preparations Data Mining Benzene Support Vector Machine Carbon Nervous System False Positive Reactions Ethylamines Toluene Drug Approval Safety-Based Drug Withdrawals Linear Models Risk Pattern Recognition, Automated Product Surveillance, Postmarketing
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Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry Feb 8, 2017
OBJECTIVES: One of the major challenges facing psychiatry is how to incorporate biological measures in the classification of mental health disorders. Many of these disorders affect brain development and its connectivity. In this study, we propose a n...
Child Development Adolescent Development Adolescent Child Humans Support Vector Machine Magnetic Resonance Imaging Mental Disorders Cerebral Cortex Female Connectome Male Nerve Net
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Objective Assessment of Endovascular Navigation Skills with Force Sensing.

Annals of biomedical engineering Feb 8, 2017
Despite the increasing popularity of endovascular intervention in clinical practice, there remains a lack of objective and quantitative metrics for skill evaluation of endovascular techniques. Data relating to the forces exerted during endovascular p...
Support Vector Machine Motion Endovascular Procedures Catheterization Humans Clinical Competence Models, Theoretical
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Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 7, 2017
Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health problem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromal stage of AD. The ability to identify subjects wit...
Positron-Emission Tomography Fluorodeoxyglucose F18 Uncertainty Prodromal Symptoms Cognitive Dysfunction Support Vector Machine Alzheimer Disease Humans Female Aged Male
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Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.

NeuroImage. Clinical Feb 6, 2017
Primary progressive aphasia (PPA) encompasses the three subtypes nonfluent/agrammatic variant PPA, semantic variant PPA, and the logopenic variant PPA, which are characterized by distinct patterns of language difficulties and regional brain atrophy. ...
Brain Female Aged Male Middle Aged Image Processing, Computer-Assisted Support Vector Machine Humans Magnetic Resonance Imaging Predictive Value of Tests Aphasia, Primary Progressive
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