AIMC Topic:
Bayes Theorem

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Fuzzy-Rough Cognitive Networks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2017
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different cl...
Fuzzy Logic Computer Simulation Decision Trees Problem Solving Neural Networks, Computer Bayes Theorem Cognition Discrimination, Psychological Benchmarking Algorithms Models, Theoretical Pattern Recognition, Automated
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Human-in-the-loop Bayesian optimization of wearable device parameters.

PloS one Sep 19, 2017
The increasing capabilities of exoskeletons and powered prosthetics for walking assistance have paved the way for more sophisticated and individualized control strategies. In response to this opportunity, recent work on human-in-the-loop optimization...
Bayes Theorem Adult Signal-To-Noise Ratio Humans Walking Male Female Energy Metabolism Robotics Young Adult
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Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.

Neural networks : the official journal of the International Neural Network Society Sep 18, 2017
Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the computational burden required for uncertainty quantification, reliability and sensitivity analyses. ANN with selected architecture is trained with the back...
Bayes Theorem Nonlinear Dynamics Neural Networks, Computer Algorithms Reproducibility of Results
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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models.

Scientific reports Sep 15, 2017
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated ...
Humans Neural Networks, Computer Deep Learning Genomics Treatment Outcome Software Prognosis Neoplasms Bayes Theorem Datasets as Topic Survival
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Depression recognition according to heart rate variability using Bayesian Networks.

Journal of psychiatric research Sep 11, 2017
BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation ca...
Autonomic Nervous System Bayes Theorem Heart Rate Depressive Disorder Neural Networks, Computer Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans
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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

Computer methods and programs in biomedicine Sep 8, 2017
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden o...
Humans Machine Learning Algorithms Reproducibility of Results Diabetes Mellitus Bayes Theorem Discriminant Analysis
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Fast Gaussian Naïve Bayes for searchlight classification analysis.

NeuroImage Sep 4, 2017
The searchlight technique is a variant of multivariate pattern analysis (MVPA) that examines neural activity across large sets of small regions, exhaustively covering the whole brain. This usually involves application of classifier algorithms across ...
Magnetic Resonance Imaging Humans Brain Mapping Brain Pattern Recognition, Automated Bayes Theorem Support Vector Machine
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Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention Sep 1, 2017
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...
Accidents, Occupational Support Vector Machine Decision Trees Algorithms Databases, Factual Reproducibility of Results Data Mining Humans Accidents Machine Learning Construction Industry Narration Linear Models Bayes Theorem Safety
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Integrating multiple fitting regression and Bayes decision for cancer diagnosis with transcriptomic data from tumor-educated blood platelets.

The Analyst Aug 30, 2017
The application of machine learning in cancer diagnostics has shown great promise and is of importance in clinic settings. Here we consider applying machine learning methods to transcriptomic data derived from tumor-educated platelets (TEPs) from ind...
Support Vector Machine Bayes Theorem Blood Platelets Reproducibility of Results Humans Neoplasms Algorithms Transcriptome
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Word2Vec inversion and traditional text classifiers for phenotyping lupus.

BMC medical informatics and decision making Aug 22, 2017
BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors' notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text cl...
Datasets as Topic International Classification of Diseases Unified Medical Language System Natural Language Processing Machine Learning Bayes Theorem Humans Lupus Erythematosus, Systemic Neural Networks, Computer Algorithms Artificial Intelligence Electronic Health Records
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