Understanding COVID-19 impacts on the health workforce: AI-assisted open-source media content analysis

Understanding COVID-19 impacts on the health workforce: AI-assisted open-source media content analysis

To investigate the impacts of the COVID-19 pandemic on the health workforce, we aimed to develop a framework that synergizes natural language processing (NLP) techniques and human-generated analysis to reduce, organize, classify, and analyze a vast volume of publicly available news articles to compl...

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Bibliographic Details
Main Authors: Pienkowska, Anita, Ravaut, Mathieu, Mammadova, Maleyka, Ang, Chin-Siang, Wang, Hanyu, Ong, Qi Chwen, Bojic, Iva, Qin, Vicky Mengqi, Sumsuzzman, Dewan Md, Ajuebor, Onyema, Boniol, Mathieu, Bustamante, Juana Paola, Campbell, James, Cometto, Giorgio, Fitzpatrick, Siobhan, Kane, Catherine, Joty, Shafiq, Car, Josip
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Medicine, Health and Life Sciences
Health care worker
Mental health
Online Access:https://hdl.handle.net/10356/180510

Internet

https://hdl.handle.net/10356/180510

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