Literature DB >> 31438261

Evaluation of Similar Term Definitions in Medical Device Adverse Event Terminology.

Ayako Yagahara1, Masahito Uesugi2, Hideto Yokoi3.   

Abstract

The purpose of this study is to extract similar term definitions used in the terminology of Japanese medical device adverse events. We employed Levenshtein and Jaro-Winkler distances as edit distances and Skip-gram, continuous-bag of words, and fast text to produce distributed representations in Word2Vec. A comparison of the accuracies of the models showed that Levenshtein distance had higher specificity whereas Skip-gram had higher sensitivity as compared to the other models.

Entities:  

Keywords:  Controlled; Equipment and Supplies; Hospital; Machine Learning; Vocabulary

Mesh:

Year:  2019        PMID: 31438261     DOI: 10.3233/SHTI190564

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Terminology integration and inconsistency identification of adverse event terminology for Japanese medical devices using SPARQL.

Authors:  Ayako Yagahara; Hideto Yokoi
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-19       Impact factor: 2.796

  1 in total

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