AIMC Topic: Neural Networks, Computer

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Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.

International journal of biological sciences May 22, 2018
Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respiratory system. To improve the efficiency of intensive care unit (ICU) staff and achieve timely clearance of secretion in patients with mechanical venti...
Sputum Humans Wavelet Analysis Neural Networks, Computer Respiratory System Algorithms
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Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.

IEEE/ACM transactions on computational biology and bioinformatics May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
Machine Learning Algorithms Databases, Factual Inflammation Models, Statistical Language Reproducibility of Results Humans Neural Networks, Computer Data Mining Myoclonus Medical Subject Headings Myocardial Infarction Thrombosis False Positive Reactions Knowledge Bases
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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.

NeuroImage May 21, 2018
Deep neural networks are increasingly being used in both supervised learning for classification tasks and unsupervised learning to derive complex patterns from the input data. However, the successful implementation of deep neural networks using neuro...
Cerebellum Pattern Recognition, Automated Neuroimaging Heart Defects, Congenital Cerebellar Diseases Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Infant, Newborn
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Multiclassification Prediction of Enzymatic Reactions for Oxidoreductases and Hydrolases Using Reaction Fingerprints and Machine Learning Methods.

Journal of chemical information and modeling May 21, 2018
Drug metabolism is a complex procedure in the human body, including a series of enzymatically catalyzed reactions. However, it is costly and time consuming to investigate drug metabolism experimentally; computational methods are hence developed to pr...
Neural Networks, Computer Machine Learning Computer Simulation Hydrolases Animals Humans Models, Biological Oxidoreductases Oxidation-Reduction Biocatalysis Pharmaceutical Preparations
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A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.

International journal of environmental research and public health May 21, 2018
Daily land surface temperature (LST) forecasting is of great significance for application in climate-related, agricultural, eco-environmental, or industrial studies. Hybrid data-driven prediction models using Ensemble Empirical Mode Composition (EEMD...
Neural Networks, Computer China Forecasting Algorithms Models, Theoretical Temperature
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Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning.

Scientific reports May 21, 2018
We present a robust deep learning framework for the automatic localisation of cone photoreceptor cells in Adaptive Optics Scanning Light Ophthalmoscope (AOSLO) split-detection images. Monitoring cone photoreceptors with AOSLO imaging grants an excell...
Neural Networks, Computer Algorithms Case-Control Studies Deep Learning Humans Retinal Cone Photoreceptor Cells Stargardt Disease Visual Acuity Retina Macular Degeneration
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Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches.

BMC bioinformatics May 21, 2018
BACKGROUND: Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). It can be done using a classif...
Algorithms Drug Discovery Protein Interaction Mapping Knowledge Discovery Neural Networks, Computer
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Network-Based Disease Module Discovery by a Novel Seed Connector Algorithm with Pathobiological Implications.

Journal of molecular biology May 20, 2018
Understanding the genetic basis of complex diseases is challenging. Prior work shows that disease-related proteins do not typically function in isolation. Rather, they often interact with each other to form a network module that underlies dysfunction...
Protein Interaction Maps Databases, Protein Models, Biological Neural Networks, Computer Algorithms Drug Discovery Disease Susceptibility Protein Interaction Mapping Humans
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Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.

Tuberculosis (Edinburgh, Scotland) May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Bacteriological Techniques Male Sputum Middle Aged Humans Tuberculosis, Pulmonary Risk Assessment Risk Factors Neural Networks, Computer Diagnosis, Computer-Assisted Mycobacterium tuberculosis Databases, Factual Brazil Young Adult Mass Screening Decision Support Techniques Decision Support Systems, Clinical Female Lung Adult Predictive Value of Tests Prevalence Reproducibility of Results
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Classifying medical relations in clinical text via convolutional neural networks.

Artificial intelligence in medicine May 18, 2018
Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a multi-pooling operation for medical relation classification on clinic...
Electronic Health Records Semantics Neural Networks, Computer Machine Learning Humans
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