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Multi-terminology indexing for the assignment of MeSH descriptors to medical abstracts in French
2009
AMIA Annual Symposium Proceedings
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The French Multi-Terminology Indexer (F-MTI) implements a multiterminology approach using nine main medical terminologies in French and the mappings between them. ...
To facilitate information retrieval in the biomedical domain, a system for the automatic assignment of Medical Subject Headings to documents curated by an online quality-controlled health gateway was implemented ...
The authors would like to thank CISMeF indexers for their help in the study design and result analysis. ...
pmid:20351910
pmcid:PMC2815432
fatcat:wqxt7s257zb3ng6fmaogwqzvue
Drug information portal in Europe: information retrieval with multiple health terminologies
2009
Studies in Health Technology and Informatics
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The objective of this work is the creation of a bilingual (French/English) drug information portal (DIP), in a multi-terminological context. ...
In the framework of the drug field, using multi-terminological context, indexing drugs with the appropriate codes or/and terms revealed to be very important to have the appropriate information storage ...
Without being regarded as descriptors of the MeSH thesaurus, the SCs are semantically related to the latter: on the one hand, for each SC, MeSH recommends a projection towards descriptors; in addition ...
pmid:19745361
fatcat:635tvwebd5h7ff3tu33dmw4cf4
Biomedical indexing and retrieval system based on language modeling approach
2012
International Journal of Software Engineering & Applications
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In this paper, we propose our contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus. ...
With this in mind, we propose a tool for indexing medical articles called BIOINSY (BIOmedical Indexing SYstem) which uses a language model for selecting the best representative descriptors for each document ...
In [4] , the authors proposed the MTI (MeSH Terminology Indexer) to index English resources. ...
doi:10.5121/ijsea.2012.3306
fatcat:siewrwtb4raz7ozc4wqlb4fvda
InfoRoute: the CISMeF Context-specific Search Algorithm
2015
Studies in Health Technology and Informatics
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The InfoRoute algorithm is a useful tool to perform contextual information retrieval across multiple medical websites in both English and French. ...
The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health ...
The ReLySe project (REfractory LYmphoma Sequencing) Transla 2013. The Authors are grateful to Richard Medeiros, for editing assistance. ...
pmid:26262110
fatcat:cfflvk55sjdrjhg2xm3ao73cfm
Cross-language MeSH indexing using morpho-semantic normalization
2003
AMIA Annual Symposium Proceedings
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We consider three alternative procedures for the automatic indexing of medical documents using MeSH thesaurus identifiers as target units (document descriptors). ...
Rather than considering complete words as the starting point of the indexing procedure, we here propose morphologically plausible subwords as basic units from which MeSH terms are derived. ...
This work has been supported by grant Klar 640/5-1 from the Deutsche Forschungsgemeinschaft (DFG). ...
pmid:14728208
pmcid:PMC1480043
fatcat:ol5bxp2dpzdtzntveucwqaqnb4
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain
[article]
2018
arXiv
pre-print
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In this study, we propose a new neural network model named MeSH-gram which relies on a straighforward approach that extends the skip-gram neural network model by considering MeSH (Medical Subject Headings ...
All the obtained results of Spearman's rank correlations between human scores and computed similarities show that MeSH-gram outperforms the skip-gram model, and is comparable to the best methods but that ...
For the MeSH-gram word embedding model, we generated a file in which each line consists of an abstract with its MeSH descriptors. ...
arXiv:1812.02309v1
fatcat:z43zsqhqcfbh5cflrvred6ubue
Evaluating alignment quality between iconic language and reference terminologies using similarity metrics
2014
BMC Medical Informatics and Decision Making
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Inter-alignment agreement was assessed on ICD10 codes and MeSH descriptors, sharing the same Concept Unique Identifiers in the Unified Medical Language System (UMLS). ...
Methods: For medical literature retrieval purposes and EHR browsing, the MeSH thesaurus and the ICD10, both organized hierarchically, were aligned to VCM language. ...
The authors are grateful to Nikki Sabourin-Gibbs, Rouen University Hospital, for editing the manuscript. ...
doi:10.1186/1472-6947-14-17
pmid:24618037
pmcid:PMC4007774
fatcat:typrl4cuyrfvpkzum326axfhmq
The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity
2019
Studies in Health Technology and Informatics
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) descriptors instead of words. ...
In this study, we propose a new neural network model, named MeSH-gram, which relies on a straightforward approach that extends the skip-gram neural network model by considering MeSH (Medical Subject Headings ...
For each abstract included in PubMed/MEDLINE, every word occurrence in the abstract text is associated to each MeSH descriptor, which means that each word vector reflects all the MeSH descriptors seen ...
doi:10.3233/shti190172
pmid:31437874
fatcat:2zvmxmuvm5aflb2iffpogkeghe
Performance evaluation of unified medical language system®'s synonyms expansion to query PubMed
2012
BMC Medical Informatics and Decision Making
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In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS ...
The new strategy led to a heterogeneous 23.7% mean increase in non-indexed citation retrieved. Of these, 82% have been published less than 4 months earlier. ...
Acknowledgments The authors thank Richard Medeiros, Rouen University Hospital medical educator, for editing this manuscript. ...
doi:10.1186/1472-6947-12-12
pmid:22376010
pmcid:PMC3309945
fatcat:svqodbdi2jg4ba3de2osd63ohy
BioDI: A New Approach to Improve Biomedical Documents Indexing
[chapter]
2013
Lecture Notes in Computer Science
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We propose a new approach for indexing biomedical documents with the Medical Subject Headings (MeSH) thesaurus that aims to overcome the limitation of the partial match. ...
In fact, our indexing approach proposes to restrict the stemming process in the step of pretreatment. ...
After, the corresponding descriptors are assigned to the terms. The score of a descriptor is the score of its term. ...
doi:10.1007/978-3-642-40285-2_9
fatcat:f5rh6sb5r5eyvln2klqaxxuumu
Scoring Semantic Annotations Returned by The NCBO Annotator
2014
Workshop on Semantic Web Applications and Tools for Life Sciences
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This paper presents a new scoring method for the NCBO Annotator allowing to rank the annotation results and enabling to use such scores for better indexing of the annotated data. ...
In the biomedical domain, one broadly used service for annotations is the NCBO Annotator Web service, offered within the BioPortal platform and giving access to more than 350+ ontologies or terminologies ...
Acknowledgements This work was supported in part by the French National Research Agency under JCJC program, grant ANR-12-JS02-01001, as well as by University of Montpellier, CNRS and the Computational ...
dblp:conf/swat4ls/MelziJ14
fatcat:k2xjqajcivcbdevucogx7agkcu
The Work Architecture of the Sears List of Subject Headings (SLSH), Library of Congress Subject Headings (LCSH), and Medical Subject Heading (MeSH): An Introduction
[article]
2022
Zenodo
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Subject headings are the creative initiative of a librarian from his love to organise things. Technically, subject headings are the standardized words assigned to a concept. ...
Using subject headings helps to decrease the "junk," or irrelevant results. And it is based on the theme of the topic, not the words that appeared in the text. According to Charles A. ...
(iii) Use of MeSH For Cataloging -The Cataloging and Metadata Management Section (CaMMS) at NLM uses Medical Subject Headings (MeSH) for assigning subject headings to materials in all formats. ...
doi:10.5281/zenodo.7056035
fatcat:gna3pxngijczlkiw5w6zvwsa6e
Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning
[article]
2023
arXiv
pre-print
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Semantic indexing of biomedical literature is usually done at the level of MeSH descriptors, representing topics of interest for the biomedical community. ...
Lacking labelled data for this task, our method relies on weak supervision based on concept occurrence in the abstract of an article. ...
In this direction, the indexing policies for librarians of the CISMeF catalogue 13 for French medical resources were updated to support indexing at the level of MeSH concepts. ...
arXiv:2301.09350v1
fatcat:gbomrhztirhiljghhoo7oaggki
Large scale biomedical texts classification: a kNN and an ESA-based approaches
2016
Journal of Biomedical Semantics
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They are therefore adequate for large multi-label classification and particularly in the biomedical domain. ...
In addition, the combination of several learning algorithms with various techniques for fixing the number of relevant topics is performed. ...
They would also like to thank the anonym reviewers of the previous version of our paper in the (Symposium on Semantic Mining in Biomedicine) 2014. ...
doi:10.1186/s13326-016-0073-1
pmid:27312781
pmcid:PMC4911685
fatcat:yv7iyjlxyjapfoh44ap2lt7h4i
Large scale biomedical texts classification: a kNN and an ESA-based approaches
[article]
2016
arXiv
pre-print
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They are therefore adequate for large multi-label classification and particularly in the biomedical domain. ...
In addition, the combination of several learning algorithms with various techniques for fixing the number of relevant topics is performed. ...
They would also like to thank the anonym reviewers of the previous version of our paper in the SMBM2014. ...
arXiv:1606.02976v1
fatcat:4can2fy2bnf7vnr6yejniabazm
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