AIMC Topic: Multivariate Analysis
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Multi-omics integration-a comparison of unsupervised clustering methodologies.
Briefings in bioinformatics
Jul 19, 2019
With the recent developments in the field of multi-omics integration, the interest in factors such as data preprocessing, choice of the integration method and the number of different omics considered had increased. In this work, the impact of these f...
Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.
Water science and technology : a journal of the International Association on Water Pollution Research
Mar 1, 2019
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates...
A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.
The Journal of invasive cardiology
Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Risk Assessment
Neoplasms
Prevalence
Case-Control Studies
Female
Aged
Aged, 80 and over
Male
Reference Values
Sex Factors
Academic Medical Centers
Multivariate Analysis
Propensity Score
Logistic Models
Age Factors
Coronary Angiography
Coronary Artery Disease
Humans
Machine Learning
Retrospective Studies
Texas
Cancer Care Facilities
The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.
Neuroinformatics
Jan 1, 2019
In recent years, neuroimaging research in cognitive neuroscience has increasingly used multivariate pattern analysis (MVPA) to investigate higher cognitive functions. Here we present DDTBOX, an open-source MVPA toolbox for electroencephalography (EEG...
Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana.
Molecular omics
Dec 3, 2018
Abiotic stress exposure of plants induces metabolic reprogramming which is tightly regulated by signalling cascades connecting transcriptional with translational and metabolic regulation. Complexity of such interconnected metabolic networks impedes t...
Predicting the Ability of Wounds to Heal Given Any Burn Size and Fluid Volume: An Analytical Approach.
Journal of burn care & research : official publication of the American Burn Association
Aug 17, 2018
The intrinsic relationship between fluid volume and open wound size (%) has not been previously examined. Therefore, we conducted this study to investigate whether open wound size can be predicted from fluid volume plus other significant factors over...
Incidence and location of positive surgical margin among open, laparoscopic and robot-assisted radical prostatectomy in prostate cancer patients: a single institutional analysis.
Japanese journal of clinical oncology
Aug 1, 2018
OBJECTIVE: To evaluate the positive surgical margin rates and locations in radical prostatectomy among three surgical approaches, including open radical prostatectomy, laparoscopic radical prostatectomy and robot-assisted radical prostatectomy.
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 1, 2018
Sleep stage classification constitutes an important preliminary exam in the diagnosis of sleep disorders. It is traditionally performed by a sleep expert who assigns to each 30 s of the signal of a sleep stage, based on the visual inspection of signa...
Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach.
Accident; analysis and prevention
Mar 1, 2018
Although a growing body of literature focuses on the relationship between the built environment and pedestrian crashes, limited evidence is provided about the relative importance of many built environment attributes by accounting for their mutual int...
Prevalence of latent Mycobacterium tuberculosis infection in renal transplant recipients.
Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia
Jan 1, 2018
OBJECTIVE: To estimate the prevalence of latent Mycobacterium tuberculosis infection (LTBI) in renal transplant recipients and to assess sociodemographic, behavioral, and clinical associations with positive tuberculin skin test (TST) results.
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