AIMC Topic: Medical Subject Headings

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Evaluation of Document Retrieval Systems on a Medical Corpus in French: Indexation vs. Feature Learning.

Studies in health technology and informatics Jun 16, 2020
This paper presents five document retrieval systems for a small (few thousands) and domain specific corpora (weekly peer-reviewed medical journals published in French) as well as an evaluation methodology to quantify the models performance. The propo...
Humans Natural Language Processing Information Storage and Retrieval Medical Subject Headings Language Models, Statistical
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The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity.

Studies in health technology and informatics Aug 21, 2019
Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they have risen to efficiently capture semantic relationships. The underlying idea is that two word...
MEDLINE Medical Subject Headings PubMed Semantics Humans Neural Networks, Computer
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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: In biomedicine, there is a wealth of information hidden in unstructured narratives such as research articles and clinical reports. To exploit these data properly, a word sense disambiguation (WSD) algorithm prevents downstream difficulties...
Neural Networks, Computer Algorithms Deep Learning Medical Subject Headings Unified Medical Language System Datasets as Topic Natural Language Processing Systematized Nomenclature of Medicine Vocabulary, Controlled Data Mining Biological Ontologies
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Interactive medical word sense disambiguation through informed learning.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: Medical word sense disambiguation (WSD) is challenging and often requires significant training with data labeled by domain experts. This work aims to develop an interactive learning algorithm that makes efficient use of expert's domain kno...
Logistic Models Natural Language Processing Medical Subject Headings Algorithms Medicine Medical Records Vocabulary Machine Learning
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"Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words.

Studies in health technology and informatics Jan 1, 2017
Extracting and understanding information, themes and relationships from large collections of documents is an important task for biomedical researchers. Latent Dirichlet Allocation is an unsupervised topic modeling technique using the bag-of-words ass...
Machine Learning Data Mining Humans Medical Subject Headings Comprehension
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PubMedReco: A Real-Time Recommender System for PubMed Citations.

Studies in health technology and informatics Jan 1, 2017
We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations. PubMedReco can recommend medical article citations while users are conversing in a synchronous co...
PubMed User-Computer Interface Information Storage and Retrieval Medical Subject Headings Humans Internet Databases, Factual
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Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks.

Studies in health technology and informatics Jan 1, 2017
BACKGROUND: Tagging text data with codes representing biomedical concepts plays an important role in medical data management and analysis. A problem occurs if there are ambiguous words linked to several concepts.
Medical Subject Headings Unified Medical Language System Neural Networks, Computer Algorithms Natural Language Processing
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Development and Evaluation of a Case-Based Retrieval Service.

Studies in health technology and informatics Jan 1, 2017
Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular treatment. Case-based retrieval services dealing with natural language processing are of major import...
Heart Diseases Information Storage and Retrieval Search Engine Medical Subject Headings Natural Language Processing Italy Male Child Electronic Health Records Female Humans
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Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.

Studies in health technology and informatics Jan 1, 2015
The massive accumulation of biomedical knowledge is reflected by the growth of the literature database MEDLINE with over 23 million bibliographic records. All records are manually indexed by MeSH descriptors, many of them refined by MeSH subheadings....
Knowledge Bases Data Mining MEDLINE Natural Language Processing Machine Learning Medical Subject Headings Periodicals as Topic Cluster Analysis Terminology as Topic
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Indexing Publicly Available Health Data with Medical Subject Headings (MeSH): An Evaluation of Term Coverage.

Studies in health technology and informatics Jan 1, 2015
As part of the Open Government Initiative, the United States federal government published datasets to increase collaboration, transparency, consumer participation, and research, and are available online at HealthData.gov. Currently, HealthData.gov do...
Medical Subject Headings Terminology as Topic Semantics MEDLINE Natural Language Processing Information Storage and Retrieval Artificial Intelligence Public Health United States
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