AIMC Topic:
Bayes Theorem

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Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.

Computer methods and programs in biomedicine Dec 30, 2015
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...
Humans Models, Cardiovascular Artificial Intelligence Algorithms Body Weight Middle Aged Smoking Female Body Mass Index Cardiovascular System Models, Statistical Risk Factors Bayes Theorem Adult Male Cardiovascular Diseases
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Discovery of Influenza A virus neuraminidase inhibitors using support vector machine and Naïve Bayesian models.

Molecular diversity Dec 21, 2015
Neuraminidase (NA) is a critical enzyme in the life cycle of influenza virus, which is known as a successful paradigm in the design of anti-influenza agents. However, to date there are no classification models for the virtual screening of NA inhibito...
Neuraminidase Drug Discovery Computational Biology Enzyme Inhibitors Influenza A Virus, H1N1 Subtype Support Vector Machine Influenza A Virus, H3N2 Subtype Bayes Theorem
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Fuzzy State Transition and Kalman Filter Applied in Short-Term Traffic Flow Forecasting.

Computational intelligence and neuroscience Dec 8, 2015
Traffic flow is widely recognized as an important parameter for road traffic state forecasting. Fuzzy state transform and Kalman filter (KF) have been applied in this field separately. But the studies show that the former method has good performance ...
Fuzzy Logic Automobiles Models, Statistical Bayes Theorem Algorithms Forecasting China
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Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring.

PloS one Dec 1, 2015
BACKGROUND: The problems of correlation and classification are long-standing in the fields of statistics and machine learning, and techniques have been developed to address these problems. We are now in the era of high-dimensional data, which is data...
Machine Learning Algorithms Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Bayes Theorem
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Machine Learning Based Classification of Microsatellite Variation: An Effective Approach for Phylogeographic Characterization of Olive Populations.

PloS one Nov 24, 2015
Finding efficient analytical techniques is overwhelmingly turning into a bottleneck for the effectiveness of large biological data. Machine learning offers a novel and powerful tool to advance classification and modeling solutions in molecular biolog...
Microsatellite Repeats Bayes Theorem Phylogeography Alleles Iran Genetic Variation Reproducibility of Results Olea Machine Learning Genotype Geography Algorithms Computational Biology DNA, Plant Decision Trees Genes, Plant
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Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach.

PloS one Nov 16, 2015
Environmentally induced epigenetic transgenerational inheritance of disease and phenotypic variation involves germline transmitted epimutations. The primary epimutations identified involve altered differential DNA methylation regions (DMRs). Differen...
Spermatozoa Environmental Exposure Granulosa Cells CpG Islands Cluster Analysis Bayes Theorem Mutation Chromosomes DDT Methoxychlor Sertoli Cells Male Genome-Wide Association Study Genetic Predisposition to Disease Computational Biology Epigenesis, Genetic Databases, Genetic Sequence Analysis, DNA DNA Methylation Machine Learning Phenotype Female Reproducibility of Results Humans
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Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC.

IEEE transactions on nanobioscience Nov 12, 2015
In this study, we used structural and evolutionary based features to represent the sequences of gram-positive and gram-negative subcellular localizations. To do this, we proposed a normalization method to construct a normalize Position Specific Scori...
Bayes Theorem Gram-Negative Bacteria Gram-Positive Bacteria Intracellular Space Support Vector Machine Models, Statistical
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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Diagnosis, Computer-Assisted Databases, Factual Bayes Theorem Nerve Net Female Fuzzy Logic Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Normal Distribution Models, Statistical Breast Breast Neoplasms Pectoralis Muscles Mammography Pattern Recognition, Automated Humans Artificial Intelligence Algorithms
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Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
We propose Latent Class Allocation (LCA) and Discriminative Labeled Latent Dirichlet Allocation (DL-LDA), two novel interpretable probabilistic latent variable models for automatic annotation of clinical text. Both models separate the terms that are ...
Natural Language Processing Bayes Theorem Humans Interviews as Topic Adolescent Child Pediatric Obesity Support Vector Machine Models, Statistical
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A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning.

PloS one Nov 4, 2015
A fundamental challenge in robotics today is building robots that can learn new skills by observing humans and imitating human actions. We propose a new Bayesian approach to robotic learning by imitation inspired by the developmental hypothesis that ...
Humans Algorithms Learning Adult Imitative Behavior Bayes Theorem Infant Goals Models, Statistical Task Performance and Analysis Robotics Models, Psychological
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