AIMC Topic: Semantics

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False memory for orthographically versus semantically similar words in adolescents with dyslexia: a fuzzy-trace theory perspective.

Annals of dyslexia
The presented research was conducted in order to investigate the connections between developmental dyslexia and the functioning of verbatim and gist memory traces-assumed in the fuzzy-trace theory. The participants were 71 high school students (33 wi...

Drug target ontology to classify and integrate drug discovery data.

Journal of biomedical semantics
BACKGROUND: One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research...

Entity recognition in the biomedical domain using a hybrid approach.

Journal of biomedical semantics
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles.

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.

Journal of medical Internet research
BACKGROUND: Automated disease code classification using free-text medical information is important for public health surveillance. However, traditional natural language processing (NLP) pipelines are limited, so we propose a method combining word emb...

Semantic biclustering for finding local, interpretable and predictive expression patterns.

BMC genomics
BACKGROUND: One of the major challenges in the analysis of gene expression data is to identify local patterns composed of genes showing coherent expression across subsets of experimental conditions. Such patterns may provide an understanding of under...

A new synonym-substitution method to enrich the human phenotype ontology.

BMC bioinformatics
BACKGROUND: Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, pro...

Querying clinical data in HL7 RIM based relational model with morph-RDB.

Journal of biomedical semantics
BACKGROUND: Semantic interoperability is essential when carrying out post-genomic clinical trials where several institutions collaborate, since researchers and developers need to have an integrated view and access to heterogeneous data sources. One p...

Towards refactoring the Molecular Function Ontology with a UML profile for function modeling.

Journal of biomedical semantics
BACKGROUND: Gene Ontology (GO) is the largest resource for cataloging gene products. This resource grows steadily and, naturally, this growth raises issues regarding the structure of the ontology. Moreover, modeling and refactoring large ontologies s...

CNN-based ranking for biomedical entity normalization.

BMC bioinformatics
BACKGROUND: Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel co...

Semantic annotation in biomedicine: the current landscape.

Journal of biomedical semantics
The abundance and unstructured nature of biomedical texts, be it clinical or research content, impose significant challenges for the effective and efficient use of information and knowledge stored in such texts. Annotation of biomedical documents wit...