Automated data collection tool for real-world cohort studies of chronic hepatitis B: Leveraging OCR and NLP technologies for improved efficiency-Reference-Cited by-同舟云学术

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Automated data collection tool for real-world cohort studies of chronic hepatitis B: Leveraging OCR and NLP technologies for improved efficiency

Published:2024-12 Issue: Volume:62 Page:101469
ISSN:2052-2975
Container-title:New Microbes and New Infections
language:en
Short-container-title:New Microbes and New Infections

Author:

Zhou Xiaomei,Zeng Tao,Zhang Yibo,Liao Yingying,Smith Jaime,Zhang Lin,Wang Chao,Li Qinghai,Wu Dongbo,Chong Yutian,Li Xinhua^ORCID

Funder

Department of Science and Technology of Guangdong Province

Sun Yat-Sen University

Publisher

Elsevier BV

Reference23 articles.

1. Cost-effectiveness of universal screening for chronic hepatitis B virus infection in China: an economic evaluation;Su;Lancet Global Health,2022

2. Scenario-oriented information extraction from electronic health records;Yousefi,2009

3. An OCR post-correction approach using deep learning for processing medical reports;Karthikeyan;IEEE Trans Circ Syst Video Technol,2022

4. Deep learning in clinical natural language processing: a methodical review;Wu;J Am Med Inf Assoc,2020

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