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Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model

  • Published:2022-10 Issue:10 Volume:25 Page:105079
  • ISSN:2589-0042
  • Container-title:iScience
  • language:en
  • Short-container-title:iScience

Author:

Wang Zhizheng,Liu Xiao Fan,Du Zhanwei,Wang Lin,Wu Ye,Holme Petter,Lachmann Michael,Lin Hongfei,Wong Zoie S.Y.,Xu Xiao-Ke,Sun YuanyuanORCID

Funder

Japan Society for the Promotion of Science

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Minderoo Foundation

Liaoning Revitalization Talents Program

Bill and Melinda Gates Foundation

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference47 articles.

1. Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing;Agbehadji;Int. J. Environ. Res. Public Health,2020

2. Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions;Ali;Science,2020

3. Guideline for epidemiological investigation of coronavirus disease 2019 (T/BPMA 0003-2020);Zhonghua Liuxingbingxue Zazhi,2020

4. Brat Rapid Annotation Tool Manual,2020

5. Who do you trust? The digital destruction of shared situational awareness and the COVID-19 infodemic;Bunker;Int. J. Inf. Manage.,2020

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2. E-bidNER: A Two-stage Enhanced Named Entity Recognition for Chinese Bid Announcements;2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2023-12-08

3. Protocol for the automatic extraction of epidemiological information via a pre-trained language model;STAR Protocols;2023-09
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