AIMC Topic: Support Vector Machine

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Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes.

Chemical research in toxicology May 17, 2019
Quantitative structure-activity relationships (QSAR) are introduced to predict acute oral toxicity (AOT), by using the QuBiLS-MAS (acronym for quadratic, bilinear and N-Linear maps based on graph-theoretic electronic-density matrices and atomic weigh...
Quantitative Structure-Activity Relationship Toxicity Tests, Acute Humans Animals Support Vector Machine Cluster Analysis Administration, Oral
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Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.

Neuroscience May 16, 2019
Computer-aided diagnosis has become a widely-used auxiliary tool for the diagnosis of Alzheimer's disease (AD). In this study, we developed an extreme learning machine (ELM) model to discriminate between patients with AD and normal controls (NCs) usi...
Neuroimaging Female Aged Aged, 80 and over Male Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Humans Machine Learning Brain
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Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.

Schizophrenia research May 16, 2019
The ubiquity of smartphones opened up the possibility of widespread use of the Experience Sampling Method (ESM). The method is used to collect longitudinal data of participants' daily life experiences and is ideal to capture fluctuations in emotions ...
Female Male Case-Control Studies ROC Curve Smartphone Principal Component Analysis Humans Logistic Models Psychotic Disorders Neural Networks, Computer Support Vector Machine Monte Carlo Method Machine Learning Emotions Ecological Momentary Assessment
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Predicting Reaction Products and Automating Reactive Trajectory Characterization in Molecular Simulations with Support Vector Machines.

Journal of chemical information and modeling May 15, 2019
A machine learning-based methodology for the prediction of chemical reaction products, along with automated elucidation of mechanistic details via phase space analysis of reactive trajectories, is introduced using low-dimensional heuristic models and...
Automation Molecular Conformation Acetaldehyde Support Vector Machine Models, Molecular
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Rectovaginal Fistula Genital Neoplasms, Female Brachytherapy Vesicovaginal Fistula Aged Models, Theoretical Aged, 80 and over Humans Support Vector Machine Adult Retrospective Studies Predictive Value of Tests Middle Aged Female Area Under Curve Risk Factors
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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model.

Analytical and bioanalytical chemistry May 14, 2019
It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to the lipid-lowering effect on high-fat diet-induced hyperlipidemia. Alisol B 23-acetate, one of the abundant triterpenes in ZX, was used as the marker...
Drug Discovery Mice Support Vector Machine Lipids Animals 3T3-L1 Cells Rhizome Alismataceae Adipogenesis Chromatography, High Pressure Liquid Lipid Metabolism Tandem Mass Spectrometry Triterpenes Hyperlipidemias Drug Evaluation, Preclinical Hypolipidemic Agents
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network.

Geospatial health May 14, 2019
Leptospirosis is a zoonotic disease found wherever human is in direct or indirect contact with contaminated water and environment. Considering the increasing number of cases of this disease in the northern part of Iran, identifying areas characterize...
Incidence Support Vector Machine Models, Statistical Iran Humans Machine Learning Risk Factors Leptospirosis Spatial Analysis Environment
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A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a certain precision, death and cardiovascular diseases in dialysis patients.
Risk Aged Sensitivity and Specificity Kidney Failure, Chronic Male Databases, Factual Humans Italy Middle Aged Biomarkers Cardiovascular Diseases Machine Learning Registries Support Vector Machine Prognosis Algorithms False Positive Reactions Models, Statistical Female Bayes Theorem
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A RR interval based automated apnea detection approach using residual network.

Computer methods and programs in biomedicine May 8, 2019
BACKGROUND AND OBJECTIVE: Apnea is one of the most common conditions that causes sleep-disorder breathing. With growing number of patients worldwide, more and more patients suffer from complications of apnea. But most of them stay untreated due to th...
Polysomnography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Sleep Apnea Syndromes Male Female Algorithms Respiration Middle Aged Reproducibility of Results Electrocardiography Adult Support Vector Machine Sensitivity and Specificity
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An Efficient Cardiac Arrhythmia Onset Detection Technique Using a Novel Feature Rank Score Algorithm.

Journal of medical systems May 6, 2019
The interpretation of various cardiovascular blood flow abnormalities can be identified using Electrocardiogram (ECG). The predominant anomaly due to the blood flow dynamics leads to the occurrence of cardiac arrhythmias in the cardiac system. In thi...
Humans Arrhythmias, Cardiac Heart Rate Cardiac Output Blood Flow Velocity Algorithms Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted
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