AIMC Topic: Semantics
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Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-pred...
COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Biomedical ontologies play a vital role in healthcare information management, data integration, and decision support. Ontology quality assurance (OQA) is an indispensable part of the ontology engineering cycle. Most existing OQA methods are based on ...
Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
We examined a large body of research study documents (protocols) to identify mentions of drug concepts and established base concepts and roles needed to characterize the semantics of these instances. We found these concepts in three general situation...
Ontology-Based Search of Genomic Metadata.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 26, 2015
The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted fr...
A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.
Bioinformatics (Oxford, England)
Oct 17, 2015
SUMMARY: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly com...
Information extraction from multi-institutional radiology reports.
Artificial intelligence in medicine
Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Databases, Factual
Electronic Health Records
Reproducibility of Results
Humans
Machine Learning
Radiology Information Systems
Medical Record Linkage
Radiographic Image Interpretation, Computer-Assisted
Data Mining
Observer Variation
Information Storage and Retrieval
Semantics
Pattern Recognition, Automated
Predictive Value of Tests
Natural Language Processing
United States
Discriminant Analysis
Models, Theoretical
Semantic biomedical resource discovery: a Natural Language Processing framework.
BMC medical informatics and decision making
Sep 30, 2015
BACKGROUND: A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main dra...
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.
IEEE transactions on cybernetics
Sep 18, 2015
Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this pap...
An Unsupervised Graph Based Continuous Word Representation Method for Biomedical Text Mining.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 14, 2015
In biomedical text mining tasks, distributed word representation has succeeded in capturing semantic regularities, but most of them are shallow-window based models, which are not sufficient for expressing the meaning of words. To represent words usin...
Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 7, 2015
Extracting biomedical event from literatures has attracted much attention recently. By now, most of the state-of-the-art systems have been based on pipelines which suffer from cascading errors, and the words encoded by one-hot are unable to represent...
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