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KNOWLEDGE REPRESENTATION AND INDEXING USING THE UNIFIED MEDICAL LANGUAGE SYSTEM [PDF]
Biocomputing 2000, 1999 Ontologies and semantic frameworks can be used to improve the accuracy and expressiveness of natural language processing for the purpose of extracting meaning from technical documents. This is especially true when a rich ontology such as the Unified Medical Language System (UMLS) is available.
K, Baclawski +4 more
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Is automatic detection of hidden knowledge an anomaly?
BMC Bioinformatics, 2019 Background The quantity of documents being published requires researchers to specialize to a narrower field, meaning that inferable connections between publications (particularly from different domains) can be missed.
Judita Preiss
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2011 International Symposium on Innovations in Intelligent Systems and Applications, 2011 Unified Medical Language System Semantic Network (UMLS SN) is an upper-level abstraction of biomedical domain terminologies, which play a critical role in biology and medicine information systems. UMLS Semantic Network includes valuable data for modeling contents of the biomedical domain.
Birsen G. Özdemir, Nazife Baykal
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BioRel: towards large-scale biomedical relation extraction
BMC Bioinformatics, 2020 Background Although biomedical publications and literature are growing rapidly, there still lacks structured knowledge that can be easily processed by computer programs.
Rui Xing, Jie Luo, Tengwei Song
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Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries
BMC Bioinformatics, 2019 * Background Consisting of dictated free-text documents such as discharge summaries, medical narratives are widely used in medical natural language processing.
Yipei Wang +6 more
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The outline of Unified Medical Language System(UMLS) Knowledge Sources.
Journal of Information Processing and Management, 1998 Koreni KAWANO
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Drug Design, Development and Therapy, 2020 Shuang Xu,1 Dan Xu,1 Liang Wen,2 Chen Zhu,3 Ying Yang,1 Shuang Han,1 Peng Guan4 1School of Library and Medical Informatics, China Medical University, Shenyang, Liaoning, People’s Republic of China; 2Department of Neurosurgery, The General Hospital ...
Xu S +6 more
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Вестник медицинского института «Реавиз»: Реабилитация, врач и здоровье, 2021 In this study, we analyzed technologies for obtaining, processing, segmentation, and transmitting of microphotographs for subsequent recognition. We selected the most promising machine learning algorithms optimal for the processing of medical images ...
U. V. Maslikova, A. A. Supilnikov
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Resources for comparing the speed and performance of medical autocoders
BMC Medical Informatics and Decision Making, 2004 Background Concept indexing is a popular method for characterizing medical text, and is one of the most important early steps in many data mining efforts.
Berman Jules J
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A Silver Standard Biomedical Corpus for Arabic Language
Complexity, 2020 The rapidly growing data in many areas, as well as in the biomedical domain, require the assistance of information extraction systems to acquire the much needed knowledge about specific entities such as proteins, drugs, or diseases practically within a ...
Nada Boudjellal +5 more
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