Humans

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3-D Neural denoising for low-dose Coronary CT Angiography (CCTA).

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 29, 2018
CCTA has become an important tool for coronary arteries assessment in low and medium risk patients. However, it exposes the patient to significant radiation doses, resulting from high image quality requirements and acquisitions at multiple cardiac ph...
Signal-To-Noise Ratio Algorithms Imaging, Three-Dimensional Thorax Humans Neural Networks, Computer Coronary Angiography Computed Tomography Angiography
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A systematic study of the class imbalance problem in convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2018
In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue. Class imbalance is a common problem that has be...
Probability Machine Learning ROC Curve Humans Neural Networks, Computer
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An unsupervised machine learning method for discovering patient clusters based on genetic signatures.

Journal of biomedical informatics Jul 29, 2018
INTRODUCTION: Many chronic disorders have genomic etiology, disease progression, clinical presentation, and response to treatment that vary on a patient-to-patient basis. Such variability creates a need to identify characteristics within patient popu...
Algorithms Precision Medicine Genome-Wide Association Study Humans Unsupervised Machine Learning Gene Ontology Linkage Disequilibrium Computational Biology Databases, Genetic Cluster Analysis Gene Regulatory Networks Polymorphism, Single Nucleotide
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Mining features for biomedical data using clustering tree ensembles.

Journal of biomedical informatics Jul 29, 2018
The volume of biomedical data available to the machine learning community grows very rapidly. A rational question is how informative these data really are or how discriminant the features describing the data instances are. Several biomedical datasets...
Protein Interaction Maps Gene Regulatory Networks Computational Biology Algorithms Databases, Factual Humans Metabolic Networks and Pathways Escherichia coli Machine Learning Data Mining Cluster Analysis Saccharomyces cerevisiae Decision Trees
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A hierarchical semi-supervised extreme learning machine method for EEG recognition.

Medical & biological engineering & computing Jul 28, 2018
Feature extraction and classification is a vital part in motor imagery-based brain-computer interface (BCI) system. Traditional deep learning (DL) methods usually perform better with more labeled training samples. Unfortunately, the labeled samples a...
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Algorithms Electroencephalography Benchmarking Humans Brain-Computer Interfaces Machine Learning
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Telemedicine and telerobotics: from science fiction to reality.

Updates in surgery Jul 28, 2018
Advances in communication technologies have paved the way for telemedicine to transform the delivery of medical care throughout the world. Coinciding developments in minimally invasive surgery and in particular teleoperated robotic surgical systems w...
Robotics Robotic Surgical Procedures Telemedicine Humans
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[The emerging role of artificial intelligence in clinical and basic medicine].

Sangyo eiseigaku zasshi = Journal of occupational health Jul 27, 2018
Humans Artificial Intelligence Clinical Medicine Occupational Medicine
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PROSES: A Web Server for Sequence-Based Protein Encoding.

Journal of computational biology : a journal of computational molecular cell biology Jul 27, 2018
Recently, the number of the amino acid sequences shared in online databases is growing rapidly in huge amounts. By using sequence-derived features, machine learning algorithms are successfully applied to prediction of protein functional classes, prot...
(1)
Sequence Analysis, Protein Computational Biology Proteins Internet Algorithms Protein Interaction Maps Humans Machine Learning
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Improving eQTL Analysis Using a Machine Learning Approach for Data Integration: A Logistic Model Tree Solution.

Journal of computational biology : a journal of computational molecular cell biology Jul 27, 2018
Expression quantitative trait loci (eQTL) analysis is an emerging method for establishing the impact of genetic variations (such as single nucleotide polymorphisms) on the expression levels of genes. Although different methods for evaluating the impa...
Genotype Computational Biology Logistic Models Gene Regulatory Networks Polymorphism, Single Nucleotide Gene Expression Regulation Quantitative Trait Loci Humans Machine Learning Algorithms Gene Expression Profiling
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Fast and Accurate Diagnosis of Autism (FADA): a novel hierarchical fuzzy system based autism detection tool.

Australasian physical & engineering sciences in medicine Jul 27, 2018
The main aim of this research work was to develop and validate a novel graphical user interface based hierarchical fuzzy autism detection tool named as "Fast and Accurate Diagnosis of Autism" for the diagnosis of autism disorder quickly and accuratel...
User-Computer Interface Child, Preschool Child ROC Curve Fuzzy Logic Autistic Disorder Reproducibility of Results Sensitivity and Specificity Area Under Curve Male Humans Discriminant Analysis Female
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