AIMC Topic: Multivariate Analysis

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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Registries Multivariate Analysis Process Assessment, Health Care Percutaneous Coronary Intervention Propensity Score Data Mining Likelihood Functions Quality Indicators, Health Care Massachusetts Humans Machine Learning Algorithms Databases, Factual Hospital Mortality Logistic Models Treatment Outcome Cause of Death Female Male Risk Factors Middle Aged Aged Hospitals Aged, 80 and over Time Factors
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Incidence of severe renal dysfunction among individuals taking warfarin and implications for non-vitamin K oral anticoagulants.

American heart journal Nov 4, 2016
BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfunction in patients requiring oral anticoagulation to help guide initial drug choice and provide a rational basis for interval monitoring of renal func...
Atrial Fibrillation Multivariate Analysis Odds Ratio Kaplan-Meier Estimate Warfarin Humans Aged Middle Aged Coronary Artery Disease Female Male Stroke Risk Factors Severity of Illness Index Creatinine Logistic Models Incidence Renal Insufficiency, Chronic Age Factors Anticoagulants
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Surface Adsorbed Antibody Characterization Using ToF-SIMS with Principal Component Analysis and Artificial Neural Networks.

Langmuir : the ACS journal of surfaces and colloids Aug 19, 2016
Artificial neural networks (ANNs) form a class of powerful multivariate analysis techniques, yet their routine use in the surface analysis community is limited. Principal component analysis (PCA) is more commonly employed to reduce the dimensionality...
Humans Neural Networks, Computer Immunoglobulin G Antibodies Multivariate Analysis ErbB Receptors Immunoglobulin Fragments Spectrometry, Mass, Secondary Ion Animals Adsorption Principal Component Analysis Amino Acids
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Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks.

Anais da Academia Brasileira de Ciencias Aug 15, 2016
The study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ecosystems. This study provides an analysis of the ...
Neural Networks, Computer Wind Brazil Forests Time Factors Seasons Wetlands Radiation Multivariate Analysis Humidity Rain Photosynthesis
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Robot-assisted versus laparoscopic rectal resection for cancer in a single surgeon's experience: a cost analysis covering the initial 50 robotic cases with the da Vinci Si.

International journal of colorectal disease Jul 31, 2016
PURPOSE: The aim of this study is to compare surgical parameters and the costs of robotic surgery with those of laparoscopic approach in rectal cancer based on a single surgeon's early robotic experience.
Surgeons Operative Time Postoperative Care Robotics Humans Female Aged Male Learning Curve Laparoscopy Rectal Neoplasms Multivariate Analysis Costs and Cost Analysis
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Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Physics in medicine and biology Jul 27, 2016
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I non-small cell lung cancer (NSCLC) patients after stereotactic body radiation therapy (SBRT). 61 features were recorded for 201 consecutive patients wit...
Humans Machine Learning Algorithms Female Radiosurgery Middle Aged Radiation Pneumonitis Lung Neoplasms Carcinoma, Non-Small-Cell Lung Multivariate Analysis Reproducibility of Results Aged Aged, 80 and over Male
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A multiple hold-out framework for Sparse Partial Least Squares.

Journal of neuroscience methods Jun 26, 2016
BACKGROUND: Supervised classification machine learning algorithms may have limitations when studying brain diseases with heterogeneous populations, as the labels might be unreliable. More exploratory approaches, such as Sparse Partial Least Squares (...
Mental Status Schedule Brain Female Aged Male Least-Squares Analysis Gray Matter Multivariate Analysis Dementia Humans Magnetic Resonance Imaging Machine Learning
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Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI.

Behavioural brain research Jun 23, 2016
Brain network alterations in patients with Alzheimer's disease (AD) has been the subject of much investigation, but the biological mechanisms underlying these alterations remain poorly understood. Here, we aim to identify the changes in brain network...
Cognitive Dysfunction Magnetic Resonance Imaging Brain Mapping Bayes Theorem Multivariate Analysis Psychological Tests Mental Status and Dementia Tests Alzheimer Disease Rest Female Aged Sensitivity and Specificity Humans Male Machine Learning Brain
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Pointwise and uniform approximation by multivariate neural network operators of the max-product type.

Neural networks : the official journal of the International Neural Network Society Jun 17, 2016
In this article, the theory of multivariate max-product neural network (NN) and quasi-interpolation operators has been introduced. Pointwise and uniform approximation results have been proved, together with estimates concerning the rate of convergenc...
Algorithms Multivariate Analysis Neural Networks, Computer
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Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.

Medical image analysis Jun 16, 2016
The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain p...
Algorithms Brain Support Vector Machine Humans Machine Learning Magnetic Resonance Imaging Multivariate Analysis Neuroanatomy
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