AIMC Topic: Multivariate Analysis

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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...
Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Humans Lipid Metabolism Phenotype Multivariate Analysis Computer Simulation Epistasis, Genetic Gene Regulatory Networks
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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...
Magnetic Resonance Imaging Brain Mapping Data Interpretation, Statistical Humans Brain Rest Databases, Factual Neural Pathways Female Multivariate Analysis Autism Spectrum Disorder Head Movements Male Severity of Illness Index Adolescent Child Support Vector Machine
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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 Brain Computer Simulation Reproducibility of Results Pattern Recognition, Automated Neuroimaging Image Enhancement Multivariate Analysis Sensitivity and Specificity Support Vector Machine Magnetic Resonance Imaging Models, Statistical
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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.
Humans Osteoarthritis, Knee Cartilage, Articular Diffusion Magnetic Resonance Imaging Least-Squares Analysis Machine Learning Linear Models Algorithms Pattern Recognition, Automated Image Processing, Computer-Assisted Multivariate Analysis Magnetic Resonance Imaging
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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 Age Factors Predictive Value of Tests Aortic Aneurysm, Abdominal Area Under Curve Odds Ratio Blood Vessel Prosthesis Implantation Endovascular Procedures Shock Multivariate Analysis Neural Networks, Computer Hospital Mortality Algorithms ROC Curve Humans Decision Support Techniques Risk Factors Logistic Models Databases, Factual Retrospective Studies Aged Treatment Outcome Male Female Aged, 80 and over Middle Aged Risk Assessment Time Factors
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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...
Female Male Case-Control Studies Child, Preschool Logistic Models Models, Theoretical Brain Injuries Child ROC Curve Algorithms Databases, Factual Retrospective Studies Tomography, X-Ray Computed Humans Injury Severity Score Machine Learning Vomiting Population Surveillance Unconsciousness Accidents, Traffic Skull Fractures Multivariate Analysis
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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...
Algorithms Neural Networks, Computer Multivariate Analysis Machine Learning
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Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

American journal of obstetrics and gynecology Jan 28, 2015
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positioning required for pelvic surgery can exacerbate obesity-related changes in respiratory physiology. ...
Middle Aged Humans Gynecologic Surgical Procedures Genital Diseases, Female Retrospective Studies Obesity Postoperative Complications Head-Down Tilt Female Robotics Comorbidity Aged Lung Diseases Logistic Models Adult Multivariate Analysis
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A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering.

IEEE transactions on cybernetics Jan 26, 2015
Prognostics is a core process of prognostics and health management (PHM) discipline, that estimates the remaining useful life (RUL) of a degrading machinery to optimize its service delivery potential. However, machinery operates in a dynamic environm...
Multivariate Analysis Fuzzy Logic Machine Learning Engineering Cluster Analysis Algorithms Models, Theoretical
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