AIMC Topic: Models, Statistical

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Round Randomized Learning Vector Quantization for Brain Tumor Imaging.

Computational and mathematical methods in medicine Jul 18, 2016
Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is among...
Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Computer Simulation Magnetic Resonance Imaging Humans Models, Statistical Reproducibility of Results Neural Networks, Computer Nonlinear Dynamics Brain Neoplasms Machine Learning Problem Solving
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Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.

Computational and mathematical methods in medicine Jul 14, 2016
The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient's cells are reprogrammed back to stem cells and ar...
Support Vector Machine Fibroblasts Models, Statistical Bayes Theorem Machine Learning Algorithms Reproducibility of Results Least-Squares Analysis Humans Quality Control Regenerative Medicine Pattern Recognition, Automated False Positive Reactions Cell Culture Techniques Induced Pluripotent Stem Cells
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Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

Environmental science and pollution research international Jul 6, 2016
In this paper, we predict air pollutant concentration using a feedforward artificial neural network inspired by the mechanism of the human brain as a useful alternative to traditional statistical modeling techniques. The neural network is trained bas...
Humans Neural Networks, Computer Air Pollution Linear Models Hong Kong Meteorology Algorithms Environmental Monitoring Models, Statistical Air Pollutants
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A Fuzzy Permutation Method for False Discovery Rate Control.

Scientific reports Jun 22, 2016
Biomedical researchers often encounter the large-p-small-n situations-a great number of variables are measured/recorded for only a few subjects. The authors propose a fuzzy permutation method to address the multiple testing problem for small sample s...
False Positive Reactions Monte Carlo Method Fuzzy Logic Models, Statistical Biomedical Research Sample Size
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Supporting Regularized Logistic Regression Privately and Efficiently.

PloS one Jun 6, 2016
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects...
Cooperative Behavior Computer Communication Networks Confidentiality Privacy Information Dissemination Computer Security Machine Learning Logistic Models Models, Statistical Humans
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Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.

Computational and mathematical methods in medicine May 30, 2016
Support vector machines are powerful tools used to solve the small sample and nonlinear classification problems, but their ultimate classification performance depends heavily upon the selection of appropriate kernel and penalty parameters. In this st...
Models, Statistical Principal Component Analysis Electroencephalography Signal Processing, Computer-Assisted Hand Healthy Volunteers Foot Motor Skills Reproducibility of Results Humans Movement Adult Imagination Signal Transduction Algorithms Support Vector Machine Computer Simulation
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Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications.

PloS one May 27, 2016
OBJECTIVE: To compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury.
Middle Aged Postoperative Complications Sepsis Cohort Studies Aged Adult Male Computational Biology Models, Statistical Risk Humans Machine Learning Retrospective Studies Acute Kidney Injury Female
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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...
Precision Medicine Humans Decision Making Machine Learning Models, Statistical Algorithms Regression Analysis Computer Simulation Data Interpretation, Statistical Esophageal Neoplasms
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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles.

Computational intelligence and neuroscience May 22, 2016
Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises. Publishing industries usually pick attractive titles and headlines for their stories to increase sales, sin...
Models, Statistical Humans Information Storage and Retrieval Neural Networks, Computer Regression Analysis Forecasting Commerce Publications Reproducibility of Results Vocabulary Nonlinear Dynamics
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Representing higher-order dependencies in networks.

Science advances May 20, 2016
To ensure the correctness of network analysis methods, the network (as the input) has to be a sufficiently accurate representation of the underlying data. However, when representing sequential data from complex systems, such as global shipping traffi...
Neural Networks, Computer Artificial Intelligence Algorithms Reproducibility of Results Cluster Analysis Models, Statistical Data Mining
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