A BERT-Span model for Chinese named entity recognition in rehabilitation medicine.

ABSTRACT:

Background

Due to various factors such as the increasing aging of the population and the upgrading of people's health consumption needs, the demand group for rehabilitation medical care is expanding. Currently, China's rehabilitation medical care encounters several challenges, such as inadequate awareness and a scarcity of skilled professionals. Enhancing public awareness about rehabilitation and improving the quality of rehabilitation services are particularly crucial. Named entity recognition is an essential first step in information processing as it enables the automated extraction of rehabilitation medical entities. These entities play a crucial role in subsequent tasks, including information decision systems and the construction of medical knowledge graphs.

Methods

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SUBMITTER: Zhong J 

PROVIDER: S-EPMC10495977 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature