Study on Named Entity Recognition in Chinese Literatures on Hypertension treatment-Reference-Cited by-同舟云学术

Study on Named Entity Recognition in Chinese Literatures on Hypertension treatment

Published:2021-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Intelligent Medicine and Health
language:
Short-container-title:

Author:

Wang Jing¹

Affiliation:

1. Information Resources Research Center, Wuhan University and School of Information Management, Wuhan University, China

Funder

Research on Knowledge Organization and Service Innovation in the Big Data Environment

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3484377.3484390

Reference12 articles.

1. Research on intelligent extraction of literature knowledge for the risk factors of chronic diseases

2. A comprehensive study of named entity recognition in Chinese clinical text

3. Tissot H Dobson R. 2019.Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese. JOURNAL OF BIOMEDICAL SEMANTICS. 10(s1) 17. Tissot H Dobson R. 2019.Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese. JOURNAL OF BIOMEDICAL SEMANTICS. 10(s1) 17.

4. Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

5. Ren Yuqi .2019. Construction and application of Chinese medical knowledge graph based on CNKI . Dalian University of Technology . Ren Yuqi.2019. Construction and application of Chinese medical knowledge graph based on CNKI. Dalian University of Technology.

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