Machine learning to assist clinical decision-making during the COVID-19 pandemic

Machine learning to assist clinical decision-making during the COVID-19 pandemic

Abstract Background The number of cases from the coronavirus disease 2019 (COVID-19) global pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and families to make pivotal decisions with limited time and information. Main body While machine learning (ML) methods ha...

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Bibliographic Details
Main Authors: Shubham Debnath, Douglas P. Barnaby, Kevin Coppa, Alexander Makhnevich, Eun Ji Kim, Saurav Chatterjee, Viktor Tóth, Todd J. Levy, Marc d. Paradis, Stuart L. Cohen, Jamie S. Hirsch, Theodoros P. Zanos, the Northwell COVID-19 Research Consortium
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Bioelectronic Medicine
Subjects:
Artificial intelligence (AI)
Clinical decision-making
Coronavirus disease 19 (COVID-19)
Healthcare
Machine learning (ML)
Online Access:http://link.springer.com/article/10.1186/s42234-020-00050-8

Internet

http://link.springer.com/article/10.1186/s42234-020-00050-8

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