AIMC Topic:
Bayes Theorem

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An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.

Artificial intelligence in medicine Nov 21, 2017
BACKGROUND: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately, the conventional screening methods for AUD patients are subjective and m...
Bayes Theorem Electroencephalography Signal Processing, Computer-Assisted Automation Support Vector Machine Predictive Value of Tests Adult Area Under Curve Male Middle Aged ROC Curve Alcoholism Logistic Models Brain Waves Case-Control Studies Diagnosis, Computer-Assisted Female Reproducibility of Results Aged Humans Brain
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Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI.

Computational and mathematical methods in medicine Nov 14, 2017
Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with...
Electroencephalography Reproducibility of Results Signal Processing, Computer-Assisted Motor Activity Decision Making Humans Probability Brain-Computer Interfaces Wheelchairs Bayes Theorem Machine Learning Movement Algorithms
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Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Molecular pharmaceutics Nov 13, 2017
Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of t...
Machine Learning Drug Discovery Bayes Theorem Datasets as Topic Neural Networks, Computer
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Kernel Bayesian ART and ARTMAP.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2017
Adaptive Resonance Theory (ART) is one of the successful approaches to resolving "the plasticity-stability dilemma" in neural networks, and its supervised learning model called ARTMAP is a powerful tool for classification. Among several improvements,...
Neural Networks, Computer Machine Learning Fuzzy Logic Bayes Theorem Normal Distribution
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Supervised learning techniques and their ability to classify a change of direction task strategy using kinematic and kinetic features.

Journal of biomechanics Oct 31, 2017
This study examines the ability of commonly used supervised learning techniques to classify the execution of a maximum effort change of direction task into predefined movement pattern as well as the influence of fuzzy executions and the impact of sel...
Ankle Biomechanical Phenomena Male Ankle Joint Support Vector Machine Sports Humans Movement Young Adult Models, Statistical Discriminant Analysis Adult Decision Trees Range of Motion, Articular Rotation Bayes Theorem Hip Joint
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Active learning for classifying data streams with unknown number of classes.

Neural networks : the official journal of the International Neural Network Society Oct 27, 2017
The classification of data streams is an interesting but also a challenging problem. A data stream may grow infinitely making it impractical for storage prior to processing and classification. Due to its dynamic nature, the underlying distribution of...
Artificial Intelligence Bayes Theorem
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Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach.

Journal of medical systems Oct 26, 2017
Web-enabled e-healthcare system or computer assisted disease diagnosis has a potential to improve the quality and service of conventional healthcare delivery approach. The article describes the design and development of a web-based distributed health...
Pattern Recognition, Automated Blood Specimen Collection Malaria Internet Telemedicine Algorithms Image Processing, Computer-Assisted Bayes Theorem Humans Machine Learning
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A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning.

Journal of medical systems Oct 19, 2017
Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better...
Markov Chains Text Messaging Computer Communication Networks Humans Spatio-Temporal Analysis Bayes Theorem Machine Learning Geographic Information Systems
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Predicting lysine glycation sites using bi-profile bayes feature extraction.

Computational biology and chemistry Oct 12, 2017
Glycation is a nonenzymatic post-translational modification which has been found to be involved in various biological processes and closely associated with many metabolic diseases. The accurate identification of glycation sites is important to unders...
Computational Biology Glycosylation Support Vector Machine Bayes Theorem Internet Lysine
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Humans Hospital Mortality Machine Learning ROC Curve Databases, Factual Middle Aged Aged Bayes Theorem Intensive Care Units Aged, 80 and over Severity of Illness Index Young Adult Outcome Assessment, Health Care Female Adolescent Heart Diseases Adult Male
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