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Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning.
Autor:
Steven Cogill, Shriram Nallamshetty, Natalie Fullenkamp, Kent Heberer, Julie Lynch, Kyung Min Lee, Mihaela Aslan, Mei-Chiung Shih, Jennifer S Lee
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0290221 (2024)
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilitate the identification of patients at highest risk of adverse outcomes is a priority. The study objectives are to develop population-scale predictive
Externí odkaz:
https://doaj.org/article/afcc9b1816cd4dacbace2b1972e0e518
