AIMC Topic: Bayes Theorem

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Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review.

Current pharmaceutical design Jan 1, 2018
BACKGROUND: Virtual Screening (VS) has emerged as an important tool in the drug development process, as it conducts efficient in silico searches over millions of compounds, ultimately increasing yields of potential drug leads. As a subset of Artifici...
Humans Neuroprotective Agents Bayes Theorem Drug Evaluation, Preclinical Machine Learning Drug Discovery Alzheimer Disease
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Building Bayesian Networks from Causal Rules.

Studies in health technology and informatics Jan 1, 2018
Bayesian Networks (BNs) are often used for designing diagnosis decision support systems. They are a well-established method for reasoning under uncertainty and making inferences. But, eliciting the probabilities can be tedious and time-consuming espe...
Expert Systems Diagnosis Software Uncertainty Bayes Theorem Humans Probability
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A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Studies in health technology and informatics Jan 1, 2018
We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Dise...
Probability Risk Bayes Theorem Knowledge Bases Humans Algorithms
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Impact of Imputing Missing Data in Bayesian Network Structure Learning for Obstructive Sleep Apnea Diagnosis.

Studies in health technology and informatics Jan 1, 2018
Numerous diagnostic decisions are made every day by healthcare professionals. Bayesian networks can provide a useful aid to the process, but learning their structure from data generally requires the absence of missing data, a common problem in medica...
Humans Cluster Analysis Bayes Theorem Sleep Apnea, Obstructive Machine Learning Algorithms
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Calibration drift in regression and machine learning models for acute kidney injury.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
Bayes Theorem Hospitals, Veterans Logistic Models United States Clinical Decision-Making Female Male Middle Aged Aged Machine Learning Decision Support Techniques Acute Kidney Injury Humans
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In silico prediction of multiple-category classification model for cytochrome P450 inhibitors and non-inhibitors using machine-learning method.

SAR and QSAR in environmental research Oct 1, 2017
The cytochrome P450 (CYP) enzyme superfamily is involved in phase I metabolism which chemically modifies a variety of substrates via oxidative reactions to make them more water-soluble and easier to eliminate. Inhibition of these enzymes leads to und...
Humans Machine Learning Bayes Theorem Quantitative Structure-Activity Relationship Cytochrome P-450 Enzyme Inhibitors Computer Simulation
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NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.

Bioinformatics (Oxford, England) Aug 1, 2017
MOTIVATION: Recent CASP experiments have witnessed exciting progress on folding large-size non-humongous proteins with the assistance of co-evolution based contact predictions. The success is however anecdotal due to the requirement of the contact pr...
Neural Networks, Computer Machine Learning Bayes Theorem Computational Biology Protein Conformation Models, Molecular Protein Folding
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Design of deep convolutional networks for prediction of image rapid serial visual presentation events.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
We report in this paper an investigation of convolutional neural network (CNN) models for target prediction in time-locked image rapid serial visual presentation (RSVP) experiment. We investigated CNN models with 11 different designs of convolution f...
Neural Networks, Computer Algorithms Brain Machine Learning Bayes Theorem
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Experimental study and artificial neural network modeling of tartrazine removal by photocatalytic process under solar light.

Water science and technology : a journal of the International Association on Water Pollution Research Jul 1, 2017
This research focuses on the application of an artificial neural network (ANN) to predict the removal efficiency of tartrazine from simulated wastewater using a photocatalytic process under solar illumination. A program is developed in Matlab softwar...
Photochemical Processes Sunlight Tartrazine Waste Disposal, Fluid Water Pollutants, Chemical Bayes Theorem Neural Networks, Computer Algorithms
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Intelligent diagnosis of jaundice with dynamic uncertain causality graph model.

Journal of Zhejiang University. Science. B May 1, 2017
Jaundice is a common and complex clinical symptom potentially occurring in hepatology, general surgery, pediatrics, infectious diseases, gynecology, and obstetrics, and it is fairly difficult to distinguish the cause of jaundice in clinical practice,...
Bayes Theorem Reproducibility of Results Sensitivity and Specificity Causality Algorithms Jaundice Diagnosis, Computer-Assisted Models, Statistical Computer Simulation Decision Support Systems, Clinical Computer Graphics Humans Prevalence Machine Learning
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