Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

PURPOSE: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP)...

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Detalles Bibliográficos
Autores principales: Yang, Lily Wei Yun, Ng, Wei Yan, Lei, Xiaofeng, Tan, Shaun Chern Yuan, Wang, Zhaoran, Yan, Ming, Pargi, Mohan Kashyap, Zhang, Xiaoman, Lim, Jane Sujuan, Gunasekeran, Dinesh Visva, Tan, Franklin Chee Ping, Lee, Chen Ee, Yeo, Khung Keong, Tan, Hiang Khoon, Ho, Henry Sun Sien, Tan, Benedict Wee Bor, Wong, Tien Yin, Kwek, Kenneth Yung Chiang, Goh, Rick Siow Mong, Liu, Yong, Ting, Daniel Shu Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968846/
https://www.ncbi.nlm.nih.gov/pubmed/36860378
http://dx.doi.org/10.3389/fpubh.2023.1063466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968846/
https://www.ncbi.nlm.nih.gov/pubmed/36860378
http://dx.doi.org/10.3389/fpubh.2023.1063466

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