A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS-Reference-Cited by-同舟云学术

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A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS

Published:2022-07 Issue: Volume:131 Page:104118
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Chang Eunsuk

Publisher

Elsevier BV

Reference30 articles.

1. Word sense disambiguation for biomedical text mining using definition-based semantic relatedness and similarity measures;Pesaranghader;IJBBB,2014

2. An ontology-based measure to compute semantic similarity in biomedicine;Batet;J. Biomed. Inform.,2011

3. Features of similarity;Tversky;Psychol. Rev.,1977

4. Semantic similarity estimation from multiple ontologies;Batet;Appl. Intell.,2013

5. Measuring semantic similarity between biomedical concepts within multiple ontologies;Al-Mubaid;IEEE Trans Syst, Man, Cybern C.,2009

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing;The Journal of Supercomputing;2023-09-04

2. Defining the distance between diseases using SNOMED CT embeddings;Journal of Biomedical Informatics;2023-03

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