A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging

A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging

Abstract Background Computed tomography (CT) reports record a large volume of valuable information about patients’ conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-making and further academic study. However, the free-text nature of cli...

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Bibliographic Details
Main Authors: Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu, Xudong Lu
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Transformer
BERT
Pre-training
CT reports
Lung cancer screening and staging
Named entity recognition
Online Access:https://doi.org/10.1186/s12911-021-01575-x

Internet

https://doi.org/10.1186/s12911-021-01575-x

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