AIMC Topic: Semantics

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A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.

Computers in biology and medicine Jun 23, 2017
Detecting the protein complexes is an important task in analyzing the protein interaction networks. Although many algorithms predict protein complexes in different ways, surveys on the interaction networks indicate that about 50% of detected interact...
Protein Interaction Mapping Multiprotein Complexes Databases, Protein Semantics Computational Biology Fuzzy Logic Algorithms Gene Expression Profiling Protein Interaction Maps
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DrugSemantics: A corpus for Named Entity Recognition in Spanish Summaries of Product Characteristics.

Journal of biomedical informatics Jun 15, 2017
For the healthcare sector, it is critical to exploit the vast amount of textual health-related information. Nevertheless, healthcare providers have difficulties to benefit from such quantity of data during pharmacotherapeutic care. The problem is tha...
Semantics Drug Labeling Reproducibility of Results Natural Language Processing Humans Language
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Driving Under the Influence (of Language).

IEEE transactions on neural networks and learning systems Jun 9, 2017
We present a unified framework which supports grounding natural-language semantics in robotic driving. This framework supports acquisition (learning grounded meanings of nouns and prepositions from human sentential annotation of robotic driving paths...
Language Learning Robotics Humans Neural Networks, Computer Driving Under the Influence Semantics Comprehension
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A deep learning approach for predicting the quality of online health expert question-answering services.

Journal of biomedical informatics Jun 9, 2017
Recently, online health expert question-answering (HQA) services (systems) have attracted more and more health consumers to ask health-related questions everywhere at any time due to the convenience and effectiveness. However, the quality of answers ...
Consumer Health Information Machine Learning Delivery of Health Care Quality Control Semantics Humans
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NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation.

Journal of biomedical semantics Jun 7, 2017
BACKGROUND: Ontologies and controlled terminologies have become increasingly important in biomedical research. Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across dispara...
Semantics Biological Ontologies United States National Institutes of Health (U.S.)
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Dead simple OWL design patterns.

Journal of biomedical semantics Jun 5, 2017
BACKGROUND: Bio-ontologies typically require multiple axes of classification to support the needs of their users. Development of such ontologies can only be made scalable and sustainable by the use of inference to automate classification via consiste...
User-Computer Interface Semantics Gene Ontology Software
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RysannMD: A biomedical semantic annotator balancing speed and accuracy.

Journal of biomedical informatics May 26, 2017
Recently, both researchers and practitioners have explored the possibility of semantically annotating large and continuously evolving collections of biomedical texts such as research papers, medical reports, and physician notes in order to enable the...
Data Mining Semantics Humans Data Curation Natural Language Processing
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Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

Journal of biomedical informatics May 16, 2017
OBJECTIVE: The goal of this study is to investigate entity recognition within Electronic Health Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust representation of the entities. In our case, we utilized unsupervised...
Humans Sweden Cluster Analysis Semantics Machine Learning Data Curation Electronic Health Records
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Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

Computational intelligence and neuroscience May 14, 2017
Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from...
Crowdsourcing Algorithms Automation Knowledge Bases Semantics
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Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.

Methods of information in medicine Apr 28, 2017
OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their origina...
Natural Language Processing Meaningful Use Machine Learning Word Processing Data Accuracy Software Electronic Health Records International Classification of Diseases Writing User-Computer Interface Vocabulary, Controlled Guidelines as Topic Semantics
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