Theoretical Basis

Shuli Guo (), Lina Han and Wentao Yang
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Shuli Guo: Beijing Institute of Technology, National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation
Lina Han: The Second Medical Center National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Department of Cardiology
Wentao Yang: Beijing Institute of Technology, National Key Lab of Autonomous Intelligent Unmanned Systems, School of Automation

Chapter Chapter 1 in Clinical Chinese Named Entity Recognition in Natural Language Processing, 2023, pp 1-17 from Springer

Abstract: Abstract The aim of NER is to extract entities with actual meaning from massive unstructured text (Zhang et al. in Procedia Comput Sci 183:212–220, 2021 [1]). In the clinical and medical domain, clinical NER recognizes and classifies medical terms in unstructured medical text records, including symptoms, examinations, diseases, drugs, treatments, operations, and body parts. As a combination of structured and unstructured texts, the rapidly growing biomedical literature contains a significant amount of useful biomedical information.

Date: 2023
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DOI: 10.1007/978-981-99-2665-7_1

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