Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models

Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models

Abstract Background Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge is very labor-intensive. In the current s...

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Bibliographic Details
Main Authors: Bum-Sup Jang, Andrew J. Park, In Ah Kim
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Natural language processing
Recurrent glioblastoma
Name entity recognition
Question and answering
Deep learning
BERT
Online Access:https://doi.org/10.1186/s12911-022-02003-4

Internet

https://doi.org/10.1186/s12911-022-02003-4

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