AI Medical Compendium Topic:
Models, Statistical

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Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes.

BMC bioinformatics Dec 19, 2016
BACKGROUND: Performing statistical tests is an important step in analyzing genome-wide datasets for detecting genomic features differentially expressed between conditions. Each type of statistical test has its own advantages in characterizing certain...
Genome-Wide Association Study Models, Statistical Discriminant Analysis Normal Distribution Humans Machine Learning Algorithms Gene Expression Profiling
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Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models.

IEEE journal of biomedical and health informatics Dec 14, 2016
Computer simulations based on the finite element method represent powerful tools for modeling blood flow through arteries. However, due to its computational complexity, this approach may be inappropriate when results are needed quickly. In order to r...
Finite Element Analysis Models, Cardiovascular Models, Statistical Aortic Aneurysm, Abdominal Humans Stress, Mechanical Machine Learning Carotid Arteries Hemodynamics
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On the inconsistency of ℓ -penalised sparse precision matrix estimation.

BMC bioinformatics Dec 13, 2016
BACKGROUND: Various ℓ -penalised estimation methods such as graphical lasso and CLIME are widely used for sparse precision matrix estimation and learning of undirected network structure from data. Many of these methods have been shown to be consisten...
Gene Regulatory Networks Computational Biology Models, Statistical Humans Machine Learning Animals Transcriptome
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Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting.

PloS one Dec 13, 2016
Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learn...
Models, Statistical Time Neural Networks, Computer Forecasting Feedback
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Machine learning and computer vision approaches for phenotypic profiling.

The Journal of cell biology Dec 9, 2016
With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to cell segme...
Microscopy, Confocal Cluster Analysis Models, Statistical Microscopy, Fluorescence Cytological Techniques High-Throughput Screening Assays Cell Biology Machine Learning Phenotype Animals Image Processing, Computer-Assisted Humans
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A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series.

IEEE journal of biomedical and health informatics Dec 7, 2016
Physiological variables, such as heart rate (HR), blood pressure (BP) and respiration (RESP), are tightly regulated and coupled under healthy conditions, and a break-down in the coupling has been associated with aging and disease. We present an appro...
Aged, 80 and over Young Adult Adult Male Databases, Factual Female Aged Monitoring, Physiologic Models, Statistical Area Under Curve Signal Processing, Computer-Assisted Aging Middle Aged Sepsis Baroreflex Humans Machine Learning Algorithms Critical Care Vital Signs
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Predicting protein conformational changes for unbound and homology docking: learning from intrinsic and induced flexibility.

Proteins Dec 5, 2016
Predicting protein conformational changes from unbound structures or even homology models to bound structures remains a critical challenge for protein docking. Here we present a study directly addressing the challenge by reducing the dimensionality a...
Molecular Docking Simulation Protein Binding Computational Biology Models, Statistical Machine Learning Binding Sites Software Thermodynamics Research Design Protein Multimerization Structural Homology, Protein Proteins Benchmarking Protein Conformation Dimensional Measurement Accuracy
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A New Method for Self-Estimation of the Severity of Obstructive Sleep Apnea Using Easily Available Measurements and Neural Fuzzy Evaluation System.

IEEE journal of biomedical and health informatics Nov 30, 2016
This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statu...
Male Middle Aged Body Mass Index Fuzzy Logic Models, Statistical Regression Analysis Blood Pressure Retrospective Studies Female Adult Sensitivity and Specificity Humans Sleep Apnea, Obstructive Medical Informatics
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Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.

Computational and mathematical methods in medicine Nov 30, 2016
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images. Real Coded Genetic Algorithm (RCGA) is proposed to overcome the ...
Humans Lung Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Lung Neoplasms Databases, Factual Tomography, X-Ray Computed Genotype Female Normal Distribution Reproducibility of Results Models, Statistical Male Probability Pattern Recognition, Automated
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An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans.

IEEE journal of biomedical and health informatics Nov 29, 2016
Having a system to stratify individuals according to risk is key to clinical disease prevention. This allows individuals identified at different risk tiers to benefit from further investigation and intervention. But the same risk score estimated for ...
Cluster Analysis Models, Statistical Supervised Machine Learning Medical Informatics Algorithms Databases, Factual Risk Assessment Diabetes Mellitus, Type 2 Humans
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