AIMC Topic: Data Interpretation, Statistical

Clear Filters Showing 141 to 150 of 233 articles

Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision.

BioMed research international Oct 26, 2016
In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically ...
Animals Models, Statistical Data Interpretation, Statistical Image Enhancement Cell Tracking Humans Neural Networks, Computer Machine Learning Computer Simulation Reproducibility of Results Microscopy Sensitivity and Specificity Image Interpretation, Computer-Assisted
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An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 22, 2016
Automatic workload estimation has received much attention because of its application in error prevention, diagnosis, and treatment of neural system impairment. The development of a simple but reliable method using minimum number of psychophysiologica...
Humans Female Young Adult Problem Solving Galvanic Skin Response Executive Function Data Interpretation, Statistical Signal Processing, Computer-Assisted Psychomotor Performance Adult Male Support Vector Machine
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Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 19, 2016
Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of the periodical rhyme...
Adult Sensitivity and Specificity Male Diagnosis, Computer-Assisted Female Reproducibility of Results Young Adult Electroencephalography Pattern Recognition, Automated Algorithms Polysomnography Models, Statistical Computer Simulation Sleep Stages Data Interpretation, Statistical Humans Bayes Theorem Machine Learning
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Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures.

Movement disorders : official journal of the Movement Disorder Society Aug 8, 2016
For the treatment and monitoring of Parkinson's disease (PD) to be scientific, a key requirement is that measurement of disease stages and severity is quantitative, reliable, and repeatable. The last 50 years in PD research have been dominated by qua...
Humans Monitoring, Ambulatory Machine Learning Parkinson Disease Data Interpretation, Statistical
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Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data.

Clinical biochemistry Jul 22, 2016
Big Data is having an impact on many areas of research, not the least of which is biomedical science. In this review paper, big data and machine learning are defined in terms accessible to the clinical chemistry community. Seven myths associated with...
Machine Learning Data Interpretation, Statistical Clinical Chemistry Tests
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Machine learning approaches in MALDI-MSI: clinical applications.

Expert review of proteomics Jun 23, 2016
INTRODUCTION: Despite the unquestionable advantages of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging in visualizing the spatial distribution and the relative abundance of biomolecules directly on-tissue, the yielded data is co...
Proteins Data Interpretation, Statistical Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Biomarkers Humans
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Statistical Performance Analysis of Data-Driven Neural Models.

International journal of neural systems Jun 9, 2016
Data-driven model-based analysis of electrophysiological data is an emerging technique for understanding the mechanisms of seizures. Model-based analysis enables tracking of hidden brain states that are represented by the dynamics of neural mass mode...
Synapses Stochastic Processes Uncertainty Membrane Potentials Epilepsy Humans Seizures Brain Neurons Computer Simulation Models, Neurological Data Interpretation, Statistical Neural Networks, Computer Bayes Theorem Algorithms
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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters May 27, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Radiation Dosage Radiotherapy Decision Support Techniques Radiation Oncology Databases, Factual Data Mining Electronic Health Records Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Neoplasms Machine Learning Risk Factors Unsupervised Machine Learning Support Vector Machine Biomedical Research Data Interpretation, Statistical Risk Assessment
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Adaptive contrast weighted learning for multi-stage multi-treatment decision-making.

Biometrics May 23, 2016
Dynamic treatment regimes (DTRs) are sequential decision rules that focus simultaneously on treatment individualization and adaptation over time. To directly identify the optimal DTR in a multi-stage multi-treatment setting, we propose a dynamic stat...
Machine Learning Algorithms Computer Simulation Models, Statistical Regression Analysis Humans Precision Medicine Data Interpretation, Statistical Decision Making Esophageal Neoplasms
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A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.

Genomics May 3, 2016
This paper proposes an approach for gene selection in microarray data. The proposed approach consists of a primary filter approach using Fisher criterion which reduces the initial genes and hence the search space and time complexity. Then, a wrapper ...
Data Interpretation, Statistical Oligonucleotide Array Sequence Analysis Machine Learning Humans Algorithms Support Vector Machine Cluster Analysis
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