A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts

A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts

Significant growth in Electronic Health Records (EHR) over the last decade has provided an abundance of clinical text that is mostly unstructured and untapped. This huge amount of clinical text data has motivated the development of new information extraction and text mining techniques. Named Entity...

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Bibliographic Details
Main Authors: Priyankar Bose, Sriram Srinivasan, William C. Sleeman, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
electronic health records
clinical text
natural language processing
named entity recognition
relationship extraction
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/18/8319

Internet

https://www.mdpi.com/2076-3417/11/18/8319

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