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Analysis and implementation of the DynDiff tool when comparing versions of ontology.

Journal of biomedical semantics
BACKGROUND: Ontologies play a key role in the management of medical knowledge because they have the properties to support a wide range of knowledge-intensive tasks. The dynamic nature of knowledge requires frequent changes to the ontologies to keep t...

Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Journal of biomedical informatics
Patient narratives on social networks contain large amounts of objective information, such as the descriptions of examinations and interventions. Sentiment analysis (SA) models are mostly used to evaluate the conveyed sentiments by patients in these ...

HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

BMC bioinformatics
BACKGROUND: Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology are being extensively used in many applications in biomedical text mining and genomics respectively, which has encouraged the development of semantic ...

Improved biomedical word embeddings in the transformer era.

Journal of biomedical informatics
BACKGROUND: Recent natural language processing (NLP) research is dominated by neural network methods that employ word embeddings as basic building blocks. Pre-training with neural methods that capture local and global distributional properties (e.g.,...

Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem.

AMIA ... Annual Symposium proceedings. AMIA Symposium
This year less than 200 National Library of Medicine indexers expect to index 1 million articles, and this would not be possible without the assistance of the Medical Text Indexer (MTI) system. MTI is an automated indexing system that provides MeSH m...

Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.

Journal of biomedical informatics
OBJECTIVE: Currently, a major limitation for natural language processing (NLP) analyses in clinical applications is that concepts are not effectively referenced in various forms across different texts. This paper introduces Multi-Ontology Refined Emb...

Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.

PloS one
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...

A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

AMIA ... Annual Symposium proceedings. AMIA Symposium
MEDLINE is the National Library of Medicine's premier bibliographic database for biomedical literature. A highly valuable feature of the database is that each record is manually indexed with a controlled vocabulary called MeSH. Most MEDLINE journals ...

Mining the literature for genes associated with placenta-mediated maternal diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Automated literature analysis could significantly speed up understanding of the role of the placenta and the impact of its development and functions on the health of the mother and the child. To facilitate automatic extraction of information about pl...

Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium
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...