Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records

Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records

Abstract Objective Pituitary adenomas are the most common type of pituitary disorders, which usually occur in young adults and often affect the patient’s physical development, labor capacity and fertility. Clinical free texts noted in electronic medical records (EMRs) of pituitary adenomas patients...

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Bibliographic Details
Main Authors: An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren, Xianlai Chen
Format: Article
Language:English
Published: BMC 2022-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical information extraction
Pituitary adenomas
Chinese electronic medical records
Clinical named entity recognition
Deep learning
Online Access:https://doi.org/10.1186/s12911-022-01810-z

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