Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology

Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology

Abstract Background In Japan, reporting of medical device malfunctions and related health problems is mandatory, and efforts are being made to standardize terminology through the Adverse Event Terminology Collection of the Japan Federation of Medical Device Associations (JFMDA). Internationally, the...

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Bibliographic Details
Main Authors: Ayako Yagahara, Masahito Uesugi, Hideto Yokoi
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine translation
Deep learning
Medical device adverse event terminology
Online Access:https://doi.org/10.1186/s12911-025-02912-0
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