AIMC Topic:
Databases, Factual

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Predicting enhancers with deep convolutional neural networks.

BMC bioinformatics Dec 1, 2017
BACKGROUND: With the rapid development of deep sequencing techniques in the recent years, enhancers have been systematically identified in such projects as FANTOM and ENCODE, forming genome-wide landscapes in a series of human cell lines. Nevertheles...
Neural Networks, Computer Machine Learning Algorithms Humans Models, Genetic DNA Genome, Human Enhancer Elements, Genetic Databases, Factual Genomics Computational Biology
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Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony.

Molecules (Basel, Switzerland) Nov 29, 2017
Intelligent optimization algorithms have advantages in dealing with complex nonlinear problems accompanied by good flexibility and adaptability. In this paper, the FCBF (Fast Correlation-Based Feature selection) method is used to filter irrelevant an...
Support Vector Machine Artificial Intelligence Databases, Factual Algorithms Reproducibility of Results Neoplasms Humans
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Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.

Scientific reports Nov 27, 2017
Unknown adverse reactions to drugs available on the market present a significant health risk and limit accurate judgement of the cost/benefit trade-off for medications. Machine learning has the potential to predict unknown adverse reactions from curr...
Knowledge Bases Algorithms Databases, Factual Prognosis Public Health Surveillance Drug-Related Side Effects and Adverse Reactions Electronic Health Records Reproducibility of Results Humans Machine Learning
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Ensembles of Lasso Screening Rules.

IEEE transactions on pattern analysis and machine intelligence Nov 24, 2017
In order to solve large-scale lasso problems, screening algorithms have been developed that discard features with zero coefficients based on a computationally efficient screening rule. Most existing screening rules were developed from a spherical con...
Algorithms Humans Databases, Factual Machine Learning Computer Simulation Image Processing, Computer-Assisted
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The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes.

Journal of biomedical semantics Nov 23, 2017
BACKGROUND: High-throughput technologies produce huge amounts of heterogeneous biological data at all cellular levels. Structuring these data together with biological knowledge is a critical issue in biology and requires integrative tools and methods...
Computational Biology Models, Biological Semantics Software Databases, Factual Prokaryotic Cells Biological Ontologies Bacterial Physiological Phenomena Vocabulary, Controlled
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Bladder contractility index in posterior urethral valve: A new marker for early prediction of progression to renal failure.

Journal of pediatric urology Nov 22, 2017
INTRODUCTION: Posterior urethral valve (PUV) is the most common cause of pediatric end stage renal disease (ESRD), imposing a major health burden on medical community caregivers and adversely affecting the quality of life of patients. Chronic kidney ...
Urinary Bladder Male Proportional Hazards Models Urinary Bladder Neck Obstruction Follow-Up Studies Humans Muscle Contraction Risk Assessment Vesico-Ureteral Reflux Urethral Stricture Databases, Factual Disease Progression Urodynamics Child Predictive Value of Tests Kidney Failure, Chronic Biomarkers ROC Curve India Cohort Studies Retrospective Studies Time Factors Female Renal Insufficiency, Chronic Child, Preschool
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Environmental metabolomics with data science for investigating ecosystem homeostasis.

Progress in nuclear magnetic resonance spectroscopy Nov 21, 2017
A natural ecosystem can be viewed as the interconnections between complex metabolic reactions and environments. Humans, a part of these ecosystems, and their activities strongly affect the environments. To account for human effects within ecosystems,...
Humans Animals Ecology Biota Multivariate Analysis Machine Learning Ecosystem Nuclear Magnetic Resonance, Biomolecular Homeostasis Databases, Factual Metabolomics
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[The potential of artificial intelligence in myology: a viewpoint from a non-robot].

Medecine sciences : M/S Nov 15, 2017
Muscles Muscular Diseases Sequence Analysis, DNA Genetic Testing High-Throughput Nucleotide Sequencing Artificial Intelligence Humans Medical Record Linkage History, 21st Century Databases, Factual Precision Medicine History, 20th Century Inventions
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A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image.

IEEE transactions on pattern analysis and machine intelligence Nov 13, 2017
Three-dimensional shape reconstruction of 2D landmark points on a single image is a hallmark of human vision, but is a task that has been proven difficult for computer vision algorithms. We define a feed-forward deep neural network algorithm that can...
Neural Networks, Computer Algorithms Humans Face Databases, Factual Imaging, Three-Dimensional Video Recording
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Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition.

Journal of biomedical informatics Nov 13, 2017
BACKGROUND: Previous state-of-the-art systems on Drug Name Recognition (DNR) and Clinical Concept Extraction (CCE) have focused on a combination of text "feature engineering" and conventional machine learning algorithms such as conditional random fie...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual
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