Machine learning-based COVID-19 acute respiratory distress syndrome phenotyping and clinical outcomes: A systematic review

COVID-19-related acute respiratory distress syndrome (CARDS) has been suggested to differ from the typical ARDS. While distinct phenotypes of ARDS have been identified through latent class analysis (LCA), it is unclear whether such phenotypes exist for CARDS and how they affect clinical outcomes. To...

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Detalles Bibliográficos
Autores principales: Tenda, Eric Daniel, Henrina, Joshua, Samosir, Jistrani, Amalia, Ridha, Yulianti, Mira, Pitoyo, Ceva Wicaksono, Setiati, Siti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275654/
https://www.ncbi.nlm.nih.gov/pubmed/37366530
http://dx.doi.org/10.1016/j.heliyon.2023.e17276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275654/
https://www.ncbi.nlm.nih.gov/pubmed/37366530
http://dx.doi.org/10.1016/j.heliyon.2023.e17276

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