Scientific pertinence of developing machine learning technologies for the triage of COVID-19 patients: A bibliometric analysis via Scopus
The COVID-19 pandemic poses challenges in terms of diagnosis, as existing tests often fail to consistently distinguish COVID-19 pneumonia from other acute respiratory infections. Although the integration of machine learning (ML) with diagnostic procedures holds promise in addressing this issue, a co...
Main Authors: | Santiago Ballaz, Mary Pulgar-Sánchez, Kevin Chamorro, Esteban Fernández-Moreira |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
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Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823001582 |
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