Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model

Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model

This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. Addressing the issues of incomplete and inconsistent adv...

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Bibliographic Details
Main Authors: Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
medical device adverse events
Bert-BiLSTM
deep learning
intelligent classification
BERT
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1476164/full
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