Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

BACKGROUND: We investigated whether we could use influenza data to develop prediction models for COVID-19 to increase the speed at which prediction models can reliably be developed and validated early in a pandemic. We developed COVID-19 Estimated Risk (COVER) scores that quantify a patient’s risk o...

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Detalles Bibliográficos
Autores principales: Williams, Ross D., Markus, Aniek F., Yang, Cynthia, Duarte-Salles, Talita, DuVall, Scott L., Falconer, Thomas, Jonnagaddala, Jitendra, Kim, Chungsoo, Rho, Yeunsook, Williams, Andrew E., Machado, Amanda Alberga, An, Min Ho, Aragón, María, Areia, Carlos, Burn, Edward, Choi, Young Hwa, Drakos, Iannis, Abrahão, Maria Tereza Fernandes, Fernández-Bertolín, Sergio, Hripcsak, George, Kaas-Hansen, Benjamin Skov, Kandukuri, Prasanna L., Kors, Jan A., Kostka, Kristin, Liaw, Siaw-Teng, Lynch, Kristine E., Machnicki, Gerardo, Matheny, Michael E., Morales, Daniel, Nyberg, Fredrik, Park, Rae Woong, Prats-Uribe, Albert, Pratt, Nicole, Rao, Gowtham, Reich, Christian G., Rivera, Marcela, Seinen, Tom, Shoaibi, Azza, Spotnitz, Matthew E., Steyerberg, Ewout W., Suchard, Marc A., You, Seng Chan, Zhang, Lin, Zhou, Lili, Ryan, Patrick B., Prieto-Alhambra, Daniel, Reps, Jenna M., Rijnbeek, Peter R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801189/
https://www.ncbi.nlm.nih.gov/pubmed/35094685
http://dx.doi.org/10.1186/s12874-022-01505-z

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