AIMC Topic: Multivariate Analysis
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Multilayer perceptron neural network-based approach for modeling phycocyanin pigment concentrations: case study from lower Charles River buoy, USA.
Environmental science and pollution research international
May 24, 2016
This paper proposes multilayer perceptron neural network (MLPNN) to predict phycocyanin (PC) pigment using water quality variables as predictor. In the proposed model, four water quality variables that are water temperature, dissolved oxygen, pH, and...
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks.
NeuroImage
Apr 1, 2016
Human scene recognition is a rapid multistep process evolving over time from single scene image to spatial layout processing. We used multivariate pattern analyses on magnetoencephalography (MEG) data to unravel the time course of this cortical proce...
Comparison of Renal Function between Robot-Assisted and Open Partial Nephrectomy as Determined by Tc 99m-DTPA Renal Scintigraphy.
Journal of Korean medical science
Mar 18, 2016
We compared postoperative renal function impairment between patients undergoing robot-assisted partial nephrectomy (RAPN) and those undergoing open partial nephrectomy (OPN) by using Tc-99m diethylenetriaminepentaacetic acid (DTPA) renal scintigraphy...
Serum 25-hydroxyvitamin D and metabolic syndrome in a Japanese working population: The Furukawa Nutrition and Health Study.
Nutrition (Burbank, Los Angeles County, Calif.)
Mar 16, 2016
OBJECTIVE: Increasing evidence has suggested a protective role of vitamin D on metabolic syndrome (MetS). However, studies addressing this issue are limited in Asia and it remains unclear whether calcium could modify the association. We examined the ...
Multivariate Analysis
Triglycerides
Calcium, Dietary
Multilevel Analysis
Exercise
Cholesterol
Prevalence
Asian People
Body Mass Index
Young Adult
Adolescent
Japan
Vitamin D
Blood Glucose
Waist Circumference
Adult
Vitamin D Deficiency
Logistic Models
Cross-Sectional Studies
Nutritional Status
Metabolic Syndrome
Male
Blood Pressure
Middle Aged
Humans
Female
Risk Factors
Aged
Reirradiation using robotic image-guided stereotactic radiotherapy of recurrent head and neck cancer.
Journal of radiation research
Mar 16, 2016
The purpose of this study was to examine the prognosis for patients with head and neck cancer after reirradiation using Cyberknife stereotactic body irradiation with special focus on mucosal ulceration. We conducted a retrospective multi-institutiona...
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
NeuroImage
Feb 23, 2016
Normalization of feature vector values is a common practice in machine learning. Generally, each feature value is standardized to the unit hypercube or by normalizing to zero mean and unit variance. Classification decisions based on support vector ma...
Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.
PloS one
Feb 5, 2016
BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took acco...
Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study.
Journal of cognitive neuroscience
Feb 2, 2016
Learning associations between co-occurring events enables us to extract structure from our environment. Medial-temporal lobe structures are critical for associative learning. However, the role of the ventral visual pathway (VVP) in associative learni...
Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI.
Developmental science
Feb 1, 2016
Tourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by motor and vocal tics. Individuals with TS would benefit greatly from advances in prediction of symptom timecourse and treatment effectiveness. As a first step, we ap...
Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks.
PloS one
Jan 28, 2016
Cross-contamination of eukaryotic cell lines used in biomedical research represents a highly relevant problem. Analysis of repetitive DNA sequences, such as Short Tandem Repeats (STR), or Simple Sequence Repeats (SSR), is a widely accepted, simple, a...
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