AIMC Topic: Principal Component Analysis
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Support Vector Machine Classification of Drunk Driving Behaviour.
International journal of environmental research and public health
Jan 23, 2017
Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on the human central nervous system. This study conducted a detection process to distinguish drunk driving from normal driving under simulated driving condition...
Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images.
BioMed research international
Jan 4, 2017
. The purpose of this research is to develop a diagnostic method of diabetes based on standardized tongue image using support vector machine (SVM). Tongue images of 296 diabetic subjects and 531 nondiabetic subjects were collected by the TDA-1 digit...
Raman spectroscopy and PCA-SVM as a non-invasive diagnostic tool to identify and classify qualitatively glycated hemoglobin levels in vivo.
Journal of biophotonics
Dec 23, 2016
In this study we identify and classify high and low levels of glycated hemoglobin (HbA1c) in healthy volunteers (HV) and diabetic patients (DP). Overall, 86 subjects were evaluated. The Raman spectrum was measured in three anatomical regions of the b...
Automated selection of brain regions for real-time fMRI brain-computer interfaces.
Journal of neural engineering
Nov 30, 2016
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site exp...
Nerve Net
Visual Perception
Visual Cortex
Female
Brain Mapping
Word Processing
Reproducibility of Results
Principal Component Analysis
Adult
Brain-Computer Interfaces
Sensitivity and Specificity
Task Performance and Analysis
Male
Humans
Computer Systems
Magnetic Resonance Imaging
Unsupervised Machine Learning
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.
Nucleic acids research
Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Gene Expression Regulation
Organ Specificity
K562 Cells
Histones
Principal Component Analysis
DNA
CD4-Positive T-Lymphocytes
Hepatocytes
Human Embryonic Stem Cells
Binding Sites
Primary Cell Culture
Chromatin
Chromatin Assembly and Disassembly
Humans
Machine Learning
Algorithms
Cell Line, Tumor
Protein Binding
Transcription Factors
Hep G2 Cells
Cell Line
GC-MS Metabolomics Identifies Metabolite Alterations That Precede Subclinical Mastitis in the Blood of Transition Dairy Cows.
Journal of proteome research
Nov 28, 2016
The objectives of this study were to determine alterations in the serum metabolites related to amino acid (AA), carbohydrate, and lipid metabolism in transition dairy cows before diagnosis of subclinical mastitis (SCM), during, and after diagnosis of...
Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks.
Journal of pharmaceutical sciences
Nov 9, 2016
Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of respiratory diseases, but are complex products with multivariate performance determinants. Heuristic product development guided by in vitro aerosol pe...
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.
Sensors (Basel, Switzerland)
Oct 25, 2016
Physical activity recognition based on sensors is a growing area of interest given the great advances in wearable sensors. Applications in various domains are taking advantage of the ease of obtaining data to monitor personal activities and behavior ...
Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM.
Computer methods and programs in biomedicine
Oct 24, 2016
BACKGROUND AND OBJECTIVE: Currently Coronary Artery Disease (CAD) is one of the most prevalent diseases, and also can lead to death, disability and economic loss in patients who suffer from cardiovascular disease. Diagnostic procedures of this diseas...
Robot-assisted and conventional therapies produce distinct rehabilitative trends in stroke survivors.
Journal of neuroengineering and rehabilitation
Oct 11, 2016
BACKGROUND: Comparing the efficacy of alternative therapeutic strategies for the rehabilitation of motor function in chronically impaired individuals is often inconclusive. For example, a recent randomized clinical trial (RCT) compared robot-assisted...
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