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From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.
Journal of biomedical informatics
Jun 14, 2018
Ontologies and terminologies have been identified as key resources for the achievement of semantic interoperability in biomedical domains. The development of ontologies is performed as a joint work by domain experts and knowledge engineers. The maint...
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Medical physics
Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.
Scientific reports
Jun 13, 2018
Successful spermatogenesis and oogenesis are the two genetically independent processes preceding embryo development. To date, several fertility-related proteins have been described in mammalian species. Nevertheless, further studies are required to d...
Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.
Computer methods and programs in biomedicine
Jun 6, 2018
BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) c...
Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning.
Methods (San Diego, Calif.)
Jun 3, 2018
Genome-wide association studies (GWAS) have successfully discovered a number of disease-associated genetic variants in the past decade, providing an unprecedented opportunity for deciphering genetic basis of human inherited diseases. However, it is s...
A portable structural analysis library for reaction networks.
Bio Systems
May 30, 2018
The topology of a reaction network can have a significant influence on the network's dynamical properties. Such influences can include constraints on network flows and concentration changes or more insidiously result in the emergence of feedback loop...
Evolutionary image simplification for lung nodule classification with convolutional neural networks.
International journal of computer assisted radiology and surgery
May 29, 2018
PURPOSE: Understanding decisions of deep learning techniques is important. Especially in the medical field, the reasons for a decision in a classification task are as crucial as the pure classification results. In this article, we propose a new appro...
Evaluation of computational techniques for predicting non-synonymous single nucleotide variants pathogenicity.
Genomics
May 26, 2018
The human genetic diseases associated with many factors, one of these factors is the non-synonymous Single Nucleotide Variants (nsSNVs) cause single amino acid change with another resulting in protein function change leading to disease. Many computat...
Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.
Journal of clinical monitoring and computing
May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Prospective Studies
Intensive Care Units
Female
Aged
False Positive Reactions
Aged, 80 and over
Young Adult
Adult
Neural Networks, Computer
Machine Learning
Software
Databases, Factual
Humans
Brain Injuries
Diagnosis, Computer-Assisted
Bayes Theorem
Sensitivity and Specificity
Area Under Curve
Pilot Projects
Signal Processing, Computer-Assisted
Male
Sample Size
Adolescent
Hypotension
Middle Aged
Brain Injuries, Traumatic
Critical Care
An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses.
IEEE transactions on biomedical circuits and systems
May 24, 2018
Spiking neural networks (SNNs) are being explored in an attempt to mimic brain's capability to learn and recognize at low power. Crossbar architecture with highly scalable resistive RAM or RRAM array serving as synaptic weights and neuronal drivers i...
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Recent Journals
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- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
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- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 817