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Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. ...
Drug-Related Side Effects and Adverse Reactions Crowdsourcing Algorithms Pharmacovigilance Humans Social Media Information Storage and Retrieval Software Natural Language Processing Semantics Terminology as Topic Unified Medical Language System
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Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility ...
Fuzzy Logic Linguistics Humans Respiratory Distress Syndrome Software Design Software Programming Languages
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Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review.

IEEE reviews in biomedical engineering Apr 12, 2018
Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by emerging next-generation sequencing (NGS) techniques requires more and more fast and sophisticated algorithms. In this co...
High-Throughput Nucleotide Sequencing Software Genomics Deep Learning Algorithms Sequence Analysis, DNA Big Data Animals Humans Internet
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Structural inference embedded adversarial networks for scene parsing.

PloS one Apr 12, 2018
Explicit structural inference is one key point to improve the accuracy of scene parsing. Meanwhile, adversarial training method is able to reinforce spatial contiguity in output segmentations. To take both advantages of the structural learning and ad...
Neural Networks, Computer Machine Learning Software Algorithms User-Computer Interface Pattern Recognition, Automated Imaging, Three-Dimensional Image Processing, Computer-Assisted Models, Statistical
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Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network.

IEEE transactions on neural networks and learning systems Apr 9, 2018
The deep convolutional neural network (DCNN) is a class of machine learning algorithms based on feed-forward artificial neural network and is widely used for image processing applications. Implementation of DCNN in real-world problems needs high comp...
Memory Machine Learning Computer Simulation Humans Software Neural Networks, Computer Models, Neurological Algorithms Signal Processing, Computer-Assisted
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Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

Journal of biomedical informatics Apr 9, 2018
PURPOSE: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an ext...
Data Collection Medical Informatics Body Temperature Internet Fever Programming Languages Out-of-Hospital Cardiac Arrest Medical Records Systems, Computerized Liver Function Tests Acetaminophen Data Science User-Computer Interface Time Factors Brain Injuries, Traumatic Liver Natural Language Processing Software Algorithms Language Humans
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Accurate RNA 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble.

Analytical biochemistry Apr 9, 2018
RNA 5-methylcytosine (mC) is an important post-transcriptional modification that plays an indispensable role in biological processes. The accurate identification of mC sites from primary RNA sequences is especially useful for deeply understanding the...
Machine Learning Software Sequence Analysis, RNA RNA 5-Methylcytosine
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Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection.

Analytical biochemistry Apr 8, 2018
Lysine glutarylation is new type of protein acylation modification in both prokaryotes and eukaryotes. To better understand the molecular mechanism of glutarylation, it is important to identify glutarylated substrates and their corresponding glutaryl...
Proteins Software Lysine Support Vector Machine Glutarates Sequence Analysis, Protein Protein Processing, Post-Translational Acylation
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TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility.

Journal of computational chemistry Apr 6, 2018
Aqueous solubility and partition coefficient are important physical properties of small molecules. Accurate theoretical prediction of aqueous solubility and partition coefficient plays an important role in drug design and discovery. The prediction ac...
Molecular Dynamics Simulation Solubility Neural Networks, Computer Software Algorithms Water
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A Matter of Time: Faster Percolator Analysis via Efficient SVM Learning for Large-Scale Proteomics.

Journal of proteome research Apr 6, 2018
Percolator is an important tool for greatly improving the results of a database search and subsequent downstream analysis. Using support vector machines (SVMs), Percolator recalibrates peptide-spectrum matches based on the learned decision boundary b...
Machine Learning Proteomics Support Vector Machine Databases, Protein Software Algorithms Time Factors
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