Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT–PCR Testing

(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce isolated bed resources and adequate patient accommodation in the majority of areas experiencing an explosion of confirmed cases due to Omicron mutations. Until now, methods for artificial intelligence o...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Yoonje, Kim, Yu-Seop, Lee, Da In, Jeong, Seri, Kang, Gu Hyun, Jang, Yong Soo, Kim, Wonhee, Choi, Hyun Young, Kim, Jae Guk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966023/
https://www.ncbi.nlm.nih.gov/pubmed/36851519
http://dx.doi.org/10.3390/v15020304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966023/
https://www.ncbi.nlm.nih.gov/pubmed/36851519
http://dx.doi.org/10.3390/v15020304

Ejemplares similares