An ML prediction model based on clinical parameters and automated CT scan features for COVID-19 patients

Outcome prediction for individual patient groups is of paramount importance in terms of selection of appropriate therapeutic options, risk communication to patients and families, and allocating resource through optimum triage. This has become even more necessary in the context of the current COVID-1...

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Detalles Bibliográficos
Autores principales: Sinha, Abhishar, Joshi, Swati Purohit, Das, Purnendu Sekhar, Jana, Soumya, Sarkar, Rahuldeb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252998/
https://www.ncbi.nlm.nih.gov/pubmed/35788637
http://dx.doi.org/10.1038/s41598-022-15327-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252998/
https://www.ncbi.nlm.nih.gov/pubmed/35788637
http://dx.doi.org/10.1038/s41598-022-15327-y

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