AIMC Topic:
Bayes Theorem

Clear Filters Showing 1331 to 1340 of 1737 articles

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates.

NeuroImage Mar 28, 2018
Brain extraction or skull stripping of magnetic resonance images (MRI) is an essential step in neuroimaging studies, the accuracy of which can severely affect subsequent image processing procedures. Current automatic brain extraction methods demonstr...
Macaca mulatta Animals Male Brain Deep Learning Female Bayes Theorem Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.

BMC bioinformatics Mar 27, 2018
BACKGROUND: Testing predefined gene categories has become a common practice for scientists analyzing high throughput transcriptome data. A systematic way of testing gene categories leads to testing hundreds of null hypotheses that correspond to nodes...
Models, Genetic Models, Theoretical Bayes Theorem Markov Chains Gene Ontology Quantitative Trait Loci Computer Simulation Transcriptome ROC Curve Humans Algorithms
View on PubMed DOI

Statistical and Machine Learning forecasting methods: Concerns and ways forward.

PloS one Mar 27, 2018
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to statistical ones for time series forecasting. Yet, scant evidence is available about their relative performance in terms of accuracy and computational requ...
Normal Distribution Support Vector Machine Neural Networks, Computer Models, Statistical Machine Learning Bayes Theorem Forecasting
View on PubMed DOI

Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning.

The Laryngoscope Mar 25, 2018
OBJECTIVE: To determine if multispectral narrow-band imaging (mNBI) can be used for automated, quantitative detection of oropharyngeal carcinoma (OPC).
Female Aged Aged, 80 and over Humans Machine Learning Prospective Studies Diagnosis, Differential Bayes Theorem Carcinoma Sensitivity and Specificity Male Middle Aged Pattern Recognition, Automated Oropharyngeal Neoplasms Narrow Band Imaging
View on PubMed DOI

Completing sparse and disconnected protein-protein network by deep learning.

BMC bioinformatics Mar 22, 2018
BACKGROUND: Protein-protein interaction (PPI) prediction remains a central task in systems biology to achieve a better and holistic understanding of cellular and intracellular processes. Recently, an increasing number of computational methods have sh...
Saccharomyces cerevisiae Algorithms ROC Curve Protein Interaction Maps Proteins Area Under Curve Bayes Theorem Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Intelligent judgements over health risks in a spatial agent-based model.

International journal of health geographics Mar 20, 2018
BACKGROUND: Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adap...
Machine Learning Algorithms Communicable Diseases Spatial Analysis Humans Ghana Artificial Intelligence Risk Factors Bayes Theorem Waste Disposal Facilities Health Behavior Cholera
View on PubMed DOI

Bayesian estimation of multidimensional latent variables and its asymptotic accuracy.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2018
Hierarchical learning models, such as mixture models and Bayesian networks, are widely employed for unsupervised learning tasks, such as clustering analysis. They consist of observable and latent variables, which represent the given data and their un...
Bayes Theorem Humans Machine Learning Cluster Analysis
View on PubMed DOI

Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals.

PloS one Mar 8, 2018
Factor analysis is broadly used as a powerful unsupervised machine learning tool for reconstruction of hidden features in recorded mixtures of signals. In the case of a linear approximation, the mixtures can be decomposed by a variety of model-free B...
Fourier Analysis Markov Chains Algorithms Datasets as Topic Factor Analysis, Statistical Unsupervised Machine Learning Monte Carlo Method Bayes Theorem Signal Processing, Computer-Assisted
View on PubMed DOI

Machine learning-based diagnosis of melanoma using macro images.

International journal for numerical methods in biomedical engineering Feb 20, 2018
Cancer bears a poisoning threat to human society. Melanoma, the skin cancer, originates from skin layers and penetrates deep into subcutaneous layers. There exists an extensive research in melanoma diagnosis using dermatoscopic images captured throug...
Machine Learning Algorithms Melanoma Support Vector Machine Bayes Theorem Image Interpretation, Computer-Assisted Humans
View on PubMed DOI

Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.

Journal of biomedical informatics Feb 19, 2018
Electronic health records (EHRs) contain critical information useful for clinical studies. Early assessment of patients' mortality in intensive care units is of great importance. In this paper, a Deep Rule-Based Fuzzy System (DRBFS) was proposed to d...
Decision Trees Bayes Theorem ROC Curve Fuzzy Logic Humans Cluster Analysis Neural Networks, Computer Reproducibility of Results Deep Learning Algorithms Hospital Mortality Intensive Care Units Electronic Health Records
View on PubMed DOI
Popular Topics
Recent Journals