AIMC Topic: Terminology as Topic

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Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources.

Journal of biomedical semantics Jan 10, 2017
BACKGROUND: Drug ontologies could help pharmaceutical researchers overcome information overload and speed the pace of drug discovery, thus benefiting the industry and patients alike. Drug-disease relations, specifically drug-indication relations, are...
Biological Ontologies Terminology as Topic Databases, Pharmaceutical
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An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs.

Journal of medical systems Jan 3, 2017
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would be able to collaborate with others, undertake validation of NLP systems, components, and related resources, and disseminate them. We captured requireme...
Humans Electronic Health Records Reproducibility of Results Natural Language Processing Terminology as Topic United States Department of Veterans Affairs Cooperative Behavior Communication Interviews as Topic United States
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Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Annals of the New York Academy of Sciences Dec 5, 2016
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...
Data Mining Programming Languages Reproducibility of Results Humans Biological Ontologies Cloud Computing Computational Biology Brain-Computer Interfaces Software Software Design Internet Terminology as Topic
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The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.

PloS one Oct 27, 2016
Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about ...
Female Pre-Eclampsia Humans Biological Ontologies Pregnancy Terminology as Topic
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Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks.

Database : the journal of biological databases and curation Oct 24, 2016
The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of d...
Data Mining Terminology as Topic Disease Models, Theoretical Humans Support Vector Machine Neural Networks, Computer Natural Language Processing Animals
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Introducing the Big Knowledge to Use (BK2U) challenge.

Annals of the New York Academy of Sciences Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Models, Neurological Pharmaceutical Preparations Drug Interactions Animals Image Processing, Computer-Assisted Computational Biology Image Interpretation, Computer-Assisted Systematized Nomenclature of Medicine Terminology as Topic Intracranial Hemorrhages Translational Research, Biomedical Knowledge Bases Data Mining Humans Decision Making, Computer-Assisted
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Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.

Computational intelligence and neuroscience Oct 3, 2016
We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obt...
Semantics Adult Terminology as Topic Adolescent Humans Male Vocabulary Time Factors Language Neural Networks, Computer Middle Aged Social Media Concept Formation Age Factors Female Authorship Data Mining Young Adult Sex Factors
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MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken.

G3 (Bethesda, Md.) Aug 9, 2016
Biomedical vocabularies and ontologies aid in recapitulating biological knowledge. The annotation of gene products is mainly accelerated by Gene Ontology (GO), and more recently by Medical Subject Headings (MeSH). Here, we report a suite of MeSH pack...
Databases, Genetic Semantics Medical Subject Headings Gene Ontology Terminology as Topic Vocabulary, Controlled Humans Animals Chickens
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TaggerOne: joint named entity recognition and normalization with semi-Markov Models.

Bioinformatics (Oxford, England) Jun 9, 2016
MOTIVATION: Text mining is increasingly used to manage the accelerating pace of the biomedical literature. Many text mining applications depend on accurate named entity recognition (NER) and normalization (grounding). While high performing machine le...
Pattern Recognition, Automated Software Terminology as Topic Forecasting Disease Computational Biology Machine Learning Information Storage and Retrieval Knowledge Bases Semantics Data Mining
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Exploring information from the topology beneath the Gene Ontology terms to improve semantic similarity measures.

Gene Apr 12, 2016
Measuring the similarity between pairs of biological entities is important in molecular biology. The introduction of Gene Ontology (GO) provides us with a promising approach to quantifying the semantic similarity between two genes or gene products. T...
Gene Expression Profiling Proteins Humans Algorithms Terminology as Topic Databases, Protein Gene Ontology Semantics Yeasts
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