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

• Ngā kaituhi matua: Lily Wei Yun Yang (Author), Wei Yan Ng (Author), Xiaofeng Lei (Author), Shaun Chern Yuan Tan (Author), Zhaoran Wang (Author), Ming Yan (Author), Mohan Kashyap Pargi (Author), Xiaoman Zhang (Author), Jane Sujuan Lim (Author), Dinesh Visva Gunasekeran (Author), Franklin Chee Ping Tan (Author), Chen Ee Lee (Author), Khung Keong Yeo (Author), Hiang Khoon Tan (Author), Henry Sun Sien Ho (Author), Benedict Wee Bor Tan (Author), Tien Yin Wong (Author), Kenneth Yung Chiang Kwek (Author), Rick Siow Mong Goh (Author), Yong Liu (Author), Daniel Shu Wei Ting (Author)
• Hōputu: Pukapuka
• I whakaputaina: Frontiers Media S.A., 2023-02-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

PurposeThe 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) h...