Humans

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Improve artificial neural network for medical analysis, diagnosis and prediction.

Journal of critical care Jun 16, 2017
(1)
Humans Neural Networks, Computer
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Is artificial neural network an ideal modelling technique?

Journal of critical care Jun 16, 2017
(1)
Neural Networks, Computer Humans
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Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.

Computers in biology and medicine Jun 16, 2017
Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task due to minute variations in the amplitude, duration and morphology of the ECG signal. In this paper, we propose two feature extraction approaches to c...
Nonlinear Dynamics Humans Electrocardiography Support Vector Machine Heart Rate
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Fully automatic detection of lung nodules in CT images using a hybrid feature set.

Medical physics Jun 16, 2017
PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantl...
Tomography, X-Ray Computed Sensitivity and Specificity Humans Algorithms Support Vector Machine Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms
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Machine Learning and Network Analysis of Molecular Dynamics Trajectories Reveal Two Chains of Red/Ox-specific Residue Interactions in Human Protein Disulfide Isomerase.

Scientific reports Jun 16, 2017
The human protein disulfide isomerase (hPDI), is an essential four-domain multifunctional enzyme. As a result of disulfide shuffling in its terminal domains, hPDI exists in two oxidation states with different conformational preferences which are impo...
(1)
Humans Protein Conformation Protein Disulfide-Isomerases Oxidation-Reduction Protein Interaction Mapping Protein Interaction Domains and Motifs Machine Learning Molecular Dynamics Simulation Protein Interaction Maps
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Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks.

IEEE transactions on bio-medical engineering Jun 15, 2017
Current functional magnetic resonance imaging (fMRI) data modeling techniques, such as independent component analysis and sparse coding methods, can effectively reconstruct dozens or hundreds of concurrent interacting functional brain networks simult...
Magnetic Resonance Imaging Brain Mapping Signal Processing, Computer-Assisted Pattern Recognition, Automated Brain Image Processing, Computer-Assisted Humans Nerve Net Neural Networks, Computer
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Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

IEEE transactions on medical imaging Jun 15, 2017
Task-based functional magnetic resonance imaging (tfMRI) has been widely used to study functional brain networks under task performance. Modeling tfMRI data is challenging due to at least two problems: the lack of the ground truth of underlying neura...
Humans Brain Unsupervised Machine Learning Deep Learning Connectome Magnetic Resonance Imaging
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NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph.

IEEE/ACM transactions on computational biology and bioinformatics Jun 15, 2017
A remaining key challenge of modern biology is annotating the functional roles of proteins. Various computational models have been proposed for this challenge. Most of them assume the annotations of annotated proteins are complete. But in fact, many ...
Protein Interaction Mapping Saccharomyces cerevisiae Proteins Computational Biology Humans Proteins Molecular Sequence Annotation Protein Interaction Maps Gene Ontology
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Data mining and pathway analysis of glucose-6-phosphate dehydrogenase with natural language processing.

Molecular medicine reports Jun 15, 2017
Human glucose-6-phosphate dehydrogenase (G6PD) is a crucial enzyme in the pentose phosphate pathway, and serves an important role in biosynthesis and the redox balance. G6PD deficiency is a major cause of neonatal jaundice and acute hemolyticanemia, ...
(2)
Gene Ontology Glucosephosphate Dehydrogenase Glucosephosphate Dehydrogenase Deficiency Data Mining Gene Regulatory Networks Humans Natural Language Processing Signal Transduction MicroRNAs Metabolic Networks and Pathways
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DrugSemantics: A corpus for Named Entity Recognition in Spanish Summaries of Product Characteristics.

Journal of biomedical informatics Jun 15, 2017
For the healthcare sector, it is critical to exploit the vast amount of textual health-related information. Nevertheless, healthcare providers have difficulties to benefit from such quantity of data during pharmacotherapeutic care. The problem is tha...
Language Reproducibility of Results Humans Drug Labeling Natural Language Processing Semantics
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