Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks

• Main Authors: Chiroma, Haruna, Ezugwu, Absalom E., Jauro, Fatsuma, Al-Garadi, Mohammed A., Abdullahi, Idris N., Shuib, Liyana
• Format: Article
• Published: PeerJ 2020
• Subjects: R Medicine (General)
• Online Access: http://eprints.um.edu.my/36254/
• Institution: Universiti Malaya

Background and Objective: The COVID-19 pandemic has caused severe mortality across the globe, with the USA as the current epicenter of the COVID-19 epidemic even though the initial outbreak was in Wuhan, China. Many studies successfully applied machine learning to fight COVID-19 pandemic from a diff...