AIMC Topic: Medical Subject Headings

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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.

BMC bioinformatics Apr 30, 2015
BACKGROUND: This article provides an overview of the first BIOASQ challenge, a competition on large-scale biomedical semantic indexing and question answering (QA), which took place between March and September 2013. BIOASQ assesses the ability of syst...
PubMed Semantics Abstracting and Indexing Medical Subject Headings National Library of Medicine (U.S.) Algorithms United States Natural Language Processing Humans Software
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USI: a fast and accurate approach for conceptual document annotation.

BMC bioinformatics Mar 14, 2015
BACKGROUND: Semantic approaches such as concept-based information retrieval rely on a corpus in which resources are indexed by concepts belonging to a domain ontology. In order to keep such applications up-to-date, new entities need to be frequently ...
Information Storage and Retrieval Algorithms Medical Subject Headings Humans User-Computer Interface Pattern Recognition, Automated Semantics Natural Language Processing Vocabulary, Controlled Abstracting and Indexing
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Identifying named entities from PubMed for enriching semantic categories.

BMC bioinformatics Feb 21, 2015
BACKGROUND: Controlled vocabularies such as the Unified Medical Language System (UMLS) and Medical Subject Headings (MeSH) are widely used for biomedical natural language processing (NLP) tasks. However, the standard terminology in such collections s...
Humans Artificial Intelligence Medical Subject Headings Unified Medical Language System Natural Language Processing Vocabulary, Controlled PubMed Semantics
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Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics Dec 30, 2014
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...
Natural Language Processing Probability Information Storage and Retrieval MEDLINE Medical Subject Headings Unified Medical Language System Reproducibility of Results Support Vector Machine Models, Statistical Software Algorithms Linguistics
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Multimodal medical information retrieval with unsupervised rank fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 23, 2014
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. H...
Subtraction Technique Radiology Information Systems User-Computer Interface Vocabulary, Controlled Artificial Intelligence Multimodal Imaging Medical Subject Headings PubMed Algorithms Natural Language Processing Pattern Recognition, Automated Documentation Terminology as Topic Information Storage and Retrieval
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Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVES: To enhance and evaluate the quality of PubMed search results for Social Determinants of Health (SDoH) through the addition of new SDoH terms to Medical Subject Headings (MeSH).
Medical Subject Headings Social Determinants of Health Terminology as Topic Natural Language Processing PubMed Information Storage and Retrieval Humans Algorithms
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Publication Type Tagging using Transformer Models and Multi-Label Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Indexing articles by their publication type and study design is essential for efficient search and filtering of the biomedical literature, but is understudied compared to indexing by MeSH topical terms. In this study, we leveraged the human-curated p...
PubMed Abstracting and Indexing Medical Subject Headings Humans Machine Learning Natural Language Processing
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Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 2020: A bibliometric study.

Medicine Mar 18, 2022
BACKGROUND:: Little systematic information has been collected about the nature and types of articles published in 2 journals by identifying the latent topics and analyzing the extracted research themes and sentiments using text mining and machine lea...
Bibliometrics PubMed Medical Subject Headings Humans Sentiment Analysis
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Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to explore the use of deep learning techniques to measure the semantic relatedness between Unified Medical Language System (UMLS) concepts.
Deep Learning ROC Curve Natural Language Processing Terminology as Topic Unified Medical Language System Semantics Medical Subject Headings
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Development of the Gender, Sex, and Sexual Orientation ontology: Evaluation and workflow.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: The study sought to create an integrated vocabulary system that addresses the lack of standardized health terminology in gender and sexual orientation.
Sexual and Gender Minorities Sexual Behavior Biological Ontologies Female Male Medical Subject Headings Gender Identity Sex Humans
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