AIMC Topic:
Bayes Theorem

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Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.

Journal of biomedical informatics Dec 9, 2014
Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these records have been shown of great value towards building clinical prediction models. In EMR data, patients' diseases and hospital interventions are capt...
Bayes Theorem Algorithms Probability Prognosis Medical Informatics Electronic Health Records Reproducibility of Results International Classification of Diseases Humans Decision Making Risk Factors Regression Analysis Decision Trees Logistic Models Support Vector Machine
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The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.

Medical decision making : an international journal of the Society for Medical Decision Making Dec 1, 2014
OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the performance of probabilistic neural network (PNN), naïve Bayes (NB), and decision tree (DT) classifiers for predicting diabetes in a prospective cohort ...
Male Middle Aged Diabetes Mellitus, Type 2 Risk Factors Humans Adult Neural Networks, Computer Bayes Theorem Sensitivity and Specificity Models, Theoretical Algorithms Selection Bias Iran Socioeconomic Factors Decision Trees Prospective Studies Minority Groups Female
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Humans Word Processing Brain-Computer Interfaces Natural Language Processing Event-Related Potentials, P300 Bayes Theorem Communication Devices for People with Disabilities Pattern Recognition, Automated
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Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2014
Feedforward neural networks (FFNN) are among the most used neural networks for modeling of various nonlinear problems in engineering. In sequential and especially real time processing all neural networks models fail when faced with outliers. Outliers...
Feedback Bayes Theorem Neural Networks, Computer Algorithms
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Quantifying the determinants of outbreak detection performance through simulation and machine learning.

Journal of biomedical informatics Nov 6, 2014
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak detection and to use the model to predict detection performance for new outbreaks.
Humans Bayes Theorem Machine Learning Probability False Positive Reactions Disease Outbreaks ROC Curve Computational Biology Algorithms Computer Simulation Sensitivity and Specificity
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Effect of reporting bias in the analysis of spontaneous reporting data.

Pharmaceutical statistics Nov 6, 2014
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adverse drug reactions from the source population. The existing methods do not adjust for such under-reporting for the calculation of measures of associa...
Neural Networks, Computer Bayes Theorem Drug-Related Side Effects and Adverse Reactions Humans Statistics as Topic Adverse Drug Reaction Reporting Systems
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Machine-learning approaches in drug discovery: methods and applications.

Drug discovery today Nov 4, 2014
During the past decade, virtual screening (VS) has evolved from traditional similarity searching, which utilizes single reference compounds, into an advanced application domain for data mining and machine-learning approaches, which require large and ...
Bayes Theorem Neural Networks, Computer Artificial Intelligence Drug Discovery Decision Trees
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Automated tracking and analysis of behavior in restrained insects.

Journal of neuroscience methods Nov 4, 2014
BACKGROUND: Insect behavior is often monitored by human observers and measured in the form of binary responses. This procedure is time costly and does not allow a fine graded measurement of behavioral performance in individual animals. To overcome th...
Models, Biological Animals Bees Artificial Intelligence Conditioning, Classical Odorants Male Movement Software Video Recording Arthropod Antennae Bayes Theorem Restraint, Physical Algorithms
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Prediction of hospitalization due to heart diseases by supervised learning methods.

International journal of medical informatics Oct 16, 2014
BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GDP. 31% of this expenditure is attributed to hospital care. Evidently, even modest reductions in hospital care costs matter. A 2009 study showed that n...
Likelihood Functions Boston Logistic Models Bayes Theorem Hospitalization Algorithms Heart Diseases Risk Assessment Electronic Health Records ROC Curve Humans Artificial Intelligence
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Deep learning of support vector machines with class probability output networks.

Neural networks : the official journal of the International Neural Network Society Oct 7, 2014
Deep learning methods endeavor to learn features automatically at multiple levels and allow systems to learn complex functions mapping from the input space to the output space for the given data. The ability to learn powerful features automatically i...
Support Vector Machine Bayes Theorem Pattern Recognition, Automated
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