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: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
|
| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823001582 |