AIMC Topic: Medical Subject Headings

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

Journal of biomedical semantics Sep 28, 2023
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...
Semantics Biological Ontologies Medical Subject Headings Algorithms
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Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Journal of biomedical informatics Oct 25, 2022
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 ...
Medical Subject Headings Vocabulary, Controlled Social Networking Humans Algorithms Sentiment Analysis
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HESML: a real-time semantic measures library for the biomedical domain with a reproducible survey.

BMC bioinformatics Jan 6, 2022
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 ...
Reproducibility of Results Semantics Biological Ontologies Medical Subject Headings Systematized Nomenclature of Medicine
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Improved biomedical word embeddings in the transformer era.

Journal of biomedical informatics Jul 18, 2021
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.,...
Humans Language Medical Subject Headings Natural Language Processing Unified Medical Language System Semantics
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Automatic MeSH Indexing: Revisiting the Subheading Attachment Problem.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
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...
Medical Subject Headings National Library of Medicine (U.S.) Humans Unified Medical Language System Neural Networks, Computer Machine Learning Abstracting and Indexing United States MEDLINE Natural Language Processing
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Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.

Journal of biomedical informatics Oct 1, 2020
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...
Humans Cluster Analysis Natural Language Processing Medical Subject Headings Semantics Biological Ontologies
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Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.

PloS one Sep 30, 2020
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...
Pneumonia, Viral Clinical Trials as Topic Betacoronavirus Humans Software Natural Language Processing Internet Biological Ontologies Medical Subject Headings Coronavirus Infections Phenotype Pandemics SARS-CoV-2 COVID-19 Computational Biology
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A High Recall Classifier for Selecting Articles for MEDLINE Indexing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
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 ...
MEDLINE United States Neural Networks, Computer National Library of Medicine (U.S.) Medical Subject Headings Abstracting and Indexing Machine Learning
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The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.

International journal of medical informatics Feb 14, 2020
OBJECTIVE: To develop an algorithm for identifying acronym 'sense' from clinical notes without requiring a clinically annotated training set.
Pattern Recognition, Automated Abbreviations as Topic Algorithms Electronic Health Records Natural Language Processing Medical Subject Headings Infant, Newborn Humans
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Distant supervision for treatment relation extraction by leveraging MeSH subheadings.

Artificial intelligence in medicine Jun 7, 2019
The growing body of knowledge in biomedicine is too vast for human consumption. Hence there is a need for automated systems able to navigate and distill the emerging wealth of information. One fundamental task to that end is relation extraction, wher...
Data Mining Semantics Abstracting and Indexing Supervised Machine Learning PubMed Humans Medical Subject Headings Area Under Curve Crowdsourcing
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