AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 1611 to 1620 of 1671 articles

Classification of imbalanced bioinformatics data by using boundary movement-based ELM.

Bio-medical materials and engineering Jan 1, 2015
To address the imbalanced classification problem emerging in Bioinformatics, a boundary movement-based extreme learning machine (ELM) algorithm called BM-ELM was proposed. BM-ELM tries to firstly explore the prior information about data distribution ...
Data Mining Models, Genetic High-Throughput Nucleotide Sequencing Pattern Recognition, Automated Support Vector Machine Machine Learning Sequence Alignment Databases, Genetic Algorithms Models, Statistical Computer Simulation Sequence Analysis
View on PubMed DOI

A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.

Bio-medical materials and engineering Jan 1, 2015
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. GPCRs-related pathways are the targets of a large number of ma...
Data Mining Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Receptors, G-Protein-Coupled Structure-Activity Relationship Amino Acid Sequence Sequence Analysis, Protein Algorithms Fractals Support Vector Machine Databases, Protein
View on PubMed DOI

HClass: Automatic classification tool for health pathologies using artificial intelligence techniques.

Bio-medical materials and engineering Jan 1, 2015
The classification of subjects' pathologies enables a rigorousness to be applied to the treatment of certain pathologies, as doctors on occasions play with so many variables that they can end up confusing some illnesses with others. Thanks to Machine...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Pattern Recognition, Automated Software Neural Networks, Computer Algorithms Reproducibility of Results Machine Learning Sensitivity and Specificity
View on PubMed DOI

Improve the diagnosis of atrial hypertrophy with the local discriminative support vector machine.

Bio-medical materials and engineering Jan 1, 2015
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio...
Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Discriminant Analysis Cardiomegaly Hypertrophy Heart Atria Humans Pattern Recognition, Automated Algorithms Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Fuzzy Naive Bayesian for constructing regulated network with weights.

Bio-medical materials and engineering Jan 1, 2015
In the data mining field, classification is a very crucial technology, and the Bayesian classifier has been one of the hotspots in classification research area. However, assumptions of Naive Bayesian and Tree Augmented Naive Bayesian (TAN) are unfair...
Bayes Theorem Pattern Recognition, Automated Sensitivity and Specificity Diagnosis, Computer-Assisted Decision Support Systems, Clinical Fuzzy Logic Machine Learning Algorithms Reproducibility of Results
View on PubMed DOI

Sleep snoring detection using multi-layer neural networks.

Bio-medical materials and engineering Jan 1, 2015
Snoring detection is important for diagnosing obstructive sleep apnea syndrome (OSAS) and other respiratory sleep disorders. In general, audio signal processing such as snoring sound analysis uses the frequency characteristics of the signal. Recently...
Humans Snoring Neural Networks, Computer Diagnosis, Computer-Assisted Auscultation Machine Learning Sleep Apnea, Obstructive Algorithms Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.

Bio-medical materials and engineering Jan 1, 2015
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Middle Aged Ultrasonography Liver Neoplasms Machine Learning Algorithms Female Reproducibility of Results Aged Adult Sensitivity and Specificity Male Humans Neural Networks, Computer
View on PubMed DOI

A novel method of diagnosing premature ventricular contraction based on sparse auto-encoder and softmax regression.

Bio-medical materials and engineering Jan 1, 2015
Premature ventricular contraction (PVC) is one of the most serious arrhythmias. Without early diagnosis and proper treatment, PVC can result in significant complications. In this paper, a novel feature extraction method based on a sparse auto-encoder...
Humans Diagnosis, Computer-Assisted Electrocardiography Regression Analysis Diagnosis, Differential Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Atrial Premature Complexes Data Interpretation, Statistical Bundle-Branch Block Pattern Recognition, Automated Ventricular Premature Complexes
View on PubMed DOI

Restricted Boltzmann machines based oversampling and semi-supervised learning for false positive reduction in breast CAD.

Bio-medical materials and engineering Jan 1, 2015
The false-positive reduction (FPR) is a crucial step in the computer aided detection system for the breast. The issues of imbalanced data distribution and the limitation of labeled samples complicate the classification procedure. To overcome these ch...
Pattern Recognition, Automated False Positive Reactions Stochastic Processes Radiographic Image Enhancement Data Interpretation, Statistical Algorithms Radiographic Image Interpretation, Computer-Assisted Computer Simulation Supervised Machine Learning Female Humans Sensitivity and Specificity Reproducibility of Results Neural Networks, Computer Breast Neoplasms Models, Statistical Sample Size
View on PubMed DOI

Automatic segmentation in image stacks based on multi-constraint level-set evolution.

Bio-medical materials and engineering Jan 1, 2015
Contour extraction of image stacks is a basic task in medical modeling. The existing level-set methods usually suffer from some problems (e.g. serious errors around sharp features, incorrect split of topology and contour occlusions). This paper propo...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Recent Journals