458. A Machine Learning Approach Identifies Distinct Early-Symptom Cluster Phenotypes Which Correlate with Severe SARS-CoV-2 Outcomes

BACKGROUND: The novel coronavirus disease 2019 (COVID-19) pandemic remains a global challenge. Accurate COVID-19 prognosis remains an important aspect of clinical management. While many prognostic systems have been proposed, most are derived from analyses of individual symptoms or biomarkers. Here,...

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Detalles Bibliográficos
Autores principales: Epsi, Nusrat J, Powers, John H, Lindholm, David A, Helfrich, Alison, Huprikar, Nikhil, Ganesan, Anuradha, Lalani, Tahaniyat, Mody, Rupal, Madar, Cristian, Bazan, Samantha, Colombo, Rhonda E, Larson, Derek, Maves, Ryan C, Utz, Gregory, Tribble, David, Agan, Brian, Burgess, Timothy, Malloy, Allison, Pollett, Simon, Richard, Stephanie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Poster Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644530/
http://dx.doi.org/10.1093/ofid/ofab466.657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644530/
http://dx.doi.org/10.1093/ofid/ofab466.657

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