Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

BackgroundTo 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 publicl...

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Autori principali:	Anita Pienkowska, Mathieu Ravaut, Maleyka Mammadova, Chin-Siang Ang, Hanyu Wang, Qi Chwen Ong, Iva Bojic, Vicky Mengqi Qin, Dewan Md Sumsuzzman, Onyema Ajuebor, Mathieu Boniol, Juana Paola Bustamante, James Campbell, Giorgio Cometto, Siobhan Fitzpatrick, Catherine Kane, Shafiq Joty, Josip Car
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	JMIR Publications 2024-06-01
Serie:	JMIR Formative Research
Accesso online:	https://formative.jmir.org/2024/1/e53574
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Understanding COVID-19 Impacts on the Health Workforce: AI-Assisted Open-Source Media Content Analysis

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