AIMC Topic: Multivariate Analysis

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EEG Signals Analysis Using Multiscale Entropy for Depth of Anesthesia Monitoring during Surgery through Artificial Neural Networks.

Computational and mathematical methods in medicine Sep 28, 2015
In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have been proposed in recent years, one of which is sample entropy (SampEn), a commonly used and important tool to measure the regularity of data series. How...
Neural Networks, Computer Algorithms Aged Young Adult Adult Humans Anesthesia Multivariate Analysis Middle Aged Intraoperative Neurophysiological Monitoring Electroencephalography Signal Processing, Computer-Assisted Artifacts
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Prognostic value of preoperative N-terminal pro-brain natriuretic peptide in non-cardiac surgery of elderly patients with normal left ventricular systolic function.

Geriatrics & gerontology international Sep 3, 2015
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) in non-cardiac surgery in elderly patients who showed normal left ventricular function on preoperative echocardiography.
Multivariate Analysis Echocardiography Aged Humans Odds Ratio Aged, 80 and over Risk Assessment Biomarkers Preoperative Care Male Postoperative Complications Prognosis Cardiovascular Diseases Cohort Studies Female ROC Curve Ventricular Function, Left Predictive Value of Tests Ventricular Dysfunction, Left Surgical Procedures, Operative Natriuretic Peptide, Brain
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A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.

Neural networks : the official journal of the International Neural Network Society Aug 4, 2015
In this paper, we investigate the problem of optimization of multivariate performance measures, and propose a novel algorithm for it. Different from traditional machine learning methods which optimize simple loss functions to learn prediction functio...
Algorithms Forecasting Reproducibility of Results Pattern Recognition, Automated Multivariate Analysis Neural Networks, Computer Machine Learning
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Multivariate Quantitative Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions.

Human heredity Jul 28, 2015
OBJECTIVES: To determine gene-gene interactions and missing heritability of complex diseases is a challenging topic in genome-wide association studies. The multifactor dimensionality reduction (MDR) method is one of the most commonly used methods for...
Epistasis, Genetic Multifactor Dimensionality Reduction Gene Regulatory Networks Polymorphism, Single Nucleotide Lipid Metabolism Multivariate Analysis Humans Phenotype Computer Simulation
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Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity--A multi-center study.

Progress in neuro-psychopharmacology & biological psychiatry Jul 4, 2015
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluctuations (0.01-0.08 Hz) have revealed atypical whole brain functional connectivity patterns in adolescents with autism spectrum disorder (ASD), and th...
Support Vector Machine Magnetic Resonance Imaging Brain Mapping Data Interpretation, Statistical Rest Male Severity of Illness Index Adolescent Child Multivariate Analysis Neural Pathways Humans Head Movements Databases, Factual Autism Spectrum Disorder Brain Female
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Interpreting support vector machine models for multivariate group wise analysis in neuroimaging.

Medical image analysis Jun 25, 2015
Machine learning based classification algorithms like support vector machines (SVMs) have shown great promise for turning a high dimensional neuroimaging data into clinically useful decision criteria. However, tracing imaging based patterns that cont...
Humans Magnetic Resonance Imaging Models, Statistical Pattern Recognition, Automated Neuroimaging Image Enhancement Brain Computer Simulation Reproducibility of Results Sensitivity and Specificity Support Vector Machine Multivariate Analysis
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Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging.

Osteoarthritis and cartilage Jun 9, 2015
OBJECTIVE: The purpose of this study is to evaluate the ability of machine learning to discriminate between magnetic resonance images (MRI) of normal and pathological human articular cartilage obtained under standard clinical conditions.
Multivariate Analysis Humans Image Processing, Computer-Assisted Machine Learning Osteoarthritis, Knee Magnetic Resonance Imaging Cartilage, Articular Algorithms Least-Squares Analysis Diffusion Magnetic Resonance Imaging Linear Models Pattern Recognition, Automated
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Tennessee Heart Arrest Unconsciousness Aortic Rupture Multivariate Analysis Odds Ratio Blood Vessel Prosthesis Implantation Endovascular Procedures Hospital Mortality ROC Curve Logistic Models Treatment Outcome Age Factors Predictive Value of Tests Aortic Aneurysm, Abdominal Area Under Curve Shock Aged, 80 and over Male Middle Aged Humans Risk Assessment Retrospective Studies Neural Networks, Computer Time Factors Female Algorithms Risk Factors Decision Support Techniques Aged Databases, Factual
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Humans Machine Learning Algorithms Databases, Factual Retrospective Studies Tomography, X-Ray Computed Female Male Skull Fractures Multivariate Analysis Logistic Models Injury Severity Score Case-Control Studies Models, Theoretical Vomiting Child, Preschool Brain Injuries Unconsciousness Child Population Surveillance ROC Curve Accidents, Traffic
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Neural network operators: Constructive interpolation of multivariate functions.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2015
In this paper, the interpolation of multivariate data by operators of the neural network type is proved. These operators can also be used to approximate continuous functions defined on a box-domain of R(d). In order to show this fact, a uniform appro...
Multivariate Analysis Neural Networks, Computer Machine Learning Algorithms
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