AIMC Topic: Neural Networks, Computer

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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
False Negative Reactions False Positive Reactions Wavelet Analysis Signal Processing, Computer-Assisted Automation Brain Waves Cloud Computing Electrocorticography Support Vector Machine Brain Mapping Predictive Value of Tests Electroencephalography Seizures Brain Reproducibility of Results Time Factors Humans Neural Networks, Computer
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Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.

Computers in biology and medicine Jan 2, 2018
Coronary artery disease (CAD) is the most common cause of heart disease globally. This is because there is no symptom exhibited in its initial phase until the disease progresses to an advanced stage. The electrocardiogram (ECG) is a widely accessible...
Female Electrocardiography Humans Male Signal Processing, Computer-Assisted Neural Networks, Computer Diagnosis, Computer-Assisted Coronary Artery Disease
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VAMPnets for deep learning of molecular kinetics.

Nature communications Jan 2, 2018
There is an increasing demand for computing the relevant structures, equilibria, and long-timescale kinetics of biomolecular processes, such as protein-drug binding, from high-throughput molecular dynamics simulations. Current methods employ transfor...
Neural Networks, Computer Machine Learning Algorithms Molecular Dynamics Simulation Markov Chains Protein Folding Protein Binding Kinetics
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Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.

Database : the journal of biological databases and curation Jan 1, 2018
Biomedical researchers regularly discover new interactions between chemical compounds/drugs and genes/proteins, and report them in research literature. Having knowledge about these interactions is crucially important in many research areas such as pr...
Proteins Pharmaceutical Preparations Neural Networks, Computer Deep Learning Databases, Protein Data Mining Protein Binding Drug Discovery Databases, Chemical Support Vector Machine
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Extracting chemical-protein relations using attention-based neural networks.

Database : the journal of biological databases and curation Jan 1, 2018
Relation extraction is an important task in the field of natural language processing. In this paper, we describe our approach for the BioCreative VI Task 5: text mining chemical-protein interactions. We investigate multiple deep neural network (DNN) ...
Proteins Databases, Protein Databases, Chemical Neural Networks, Computer Algorithms
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Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach.

Database : the journal of biological databases and curation Jan 1, 2018
The precision medicine (PM) initiative promises to identify individualized treatment depending on a patients' genetic profile and their related responses. In order to help health professionals and researchers in the PM endeavor, BioCreative VI organi...
Databases, Protein Neural Networks, Computer Mutation Algorithms Protein Interaction Maps
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An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) challenge was organized in 2017 with the goal of applying biomedical text mining methods to support advancements in precision medicine approaches. As part ...
Protein Interaction Maps Databases, Protein Mutation Machine Learning Neural Networks, Computer Algorithms
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Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is ...
Neural Networks, Computer Algorithms Reproducibility of Results Protein Interaction Maps Models, Theoretical Support Vector Machine Data Mining Databases, Protein Mutation
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Tiresias: Context-sensitive Approach to Decipher the Presence and Strength of MicroRNA Regulatory Interactions.

Theranostics Jan 1, 2018
MicroRNAs (miRNAs) are short non-coding RNAs that regulate expression of target messenger RNAs (mRNAs) post-transcriptionally. Understanding the precise regulatory role of miRNAs is of great interest since miRNAs have been shown to play an important ...
Humans Bayes Theorem Neural Networks, Computer Machine Learning Gene Expression Regulation, Neoplastic MicroRNAs Animals Computational Biology RNA, Messenger
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Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Frontiers in bioscience (Landmark edition) Jan 1, 2018
Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of AD with a deep 3D Convolutional Neural Network (3D-CNN), which can show generic features capturing A...
Humans Neural Networks, Computer Imaging, Three-Dimensional Magnetic Resonance Imaging Alzheimer Disease Algorithms Reproducibility of Results Sensitivity and Specificity
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