AIMC Topic: Deep Learning

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Atherosclerotic carotid plaque on panoramic radiographs: neural network detection.

International journal of computerized dentistry Jan 1, 2019
AIM: Atherosclerotic carotid plaques (ACPs) constitute the main etiological factor in about 15% of strokes. ACPs can be detected on routine dental panoramic radiographs. As these are one of the most commonly performed dental images, they can be used ...
Algorithms Humans Deep Learning Neural Networks, Computer Radiography, Panoramic
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Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning.

Studies in health technology and informatics Jan 1, 2019
The steady increase in the number of patients equipped with mechanical heart support implants, such as left ventricular assist devices (LVAD), along with virtually ubiquitous 24/7 internet connectivity coverage is motive to investigate and develop re...
Prosthesis-Related Infections Humans Neural Networks, Computer Heart-Assist Devices Deep Learning Wound Infection
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Three-Dimensional Classification Structure-Activity Relationship Analysis Using Convolutional Neural Network.

Chemical & pharmaceutical bulletin Jan 1, 2019
Quantitative structure-activity relationship (QSAR) techniques, especially those that possess three-dimensional attributes, such as the comparative molecular field analysis (CoMFA), are frequently used in modern-day drug design and other related rese...
Neural Networks, Computer Ligands Algorithms Protein Binding Models, Molecular Factor Xa Humans Deep Learning Quantitative Structure-Activity Relationship
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Analysis of Primary Care Computerised Medical Records with Deep Learning.

Studies in health technology and informatics Jan 1, 2019
The analysis of primary care data plays an important role in understanding health at an individual and population level. Currently the utilization of computerized medical records is low due to the complexities, heterogeneities and veracity associated...
Primary Health Care Medical Records Electronic Health Records Deep Learning
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Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery.

Studies in health technology and informatics Jan 1, 2019
Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science tools. This is relevant for N.N. Burdenko Neurosurgery Center taking the advantage of a large EHRs archive collected for a period between 2000 and 2017....
Electronic Health Records Deep Learning Neurosurgical Procedures Neurosurgery Length of Stay Humans
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Building deep learning models for evidence classification from the open access biomedical literature.

Database : the journal of biological databases and curation Jan 1, 2019
We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and P...
Models, Theoretical Neural Networks, Computer Publications Deep Learning Semantics
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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-transcriptional silencing. Differential expression observed in miRNAs, combined with advancements in deep learning (DL), have the potential to improve...
MicroRNAs High-Throughput Nucleotide Sequencing Gene Ontology Databases, Nucleic Acid Molecular Sequence Annotation Computational Biology Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer Female Humans Neoplasms Gene Expression Profiling Male
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Decision Support Techniques Reproducibility of Results Deep Learning Humans Algorithms PubMed Knowledge Bases Data Mining Computational Biology Databases, Genetic Genetic Association Studies Markov Chains Unified Medical Language System
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DNA Steganalysis Using Deep Recurrent Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucleic acid (DNA) as a novel covert channels in steganography. There are various methods that exist in other domains to detect hidden messages in convent...
Computational Biology Humans Sequence Analysis, DNA Information Theory Neural Networks, Computer Communications Media DNA Deep Learning
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Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Noncoding single nucleotide polymorphisms (SNPs) and their target genes are important components of the heritability of diseases and other polygenic traits. Identifying these SNPs and target genes could potentially reveal new molecular mechanisms and...
Algorithms Deep Learning Genome-Wide Association Study Humans Neural Networks, Computer Sequence Analysis, DNA Molecular Sequence Annotation Databases, Nucleic Acid Computational Biology Models, Genetic Polymorphism, Single Nucleotide
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