Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry
Author:
Publisher
Springer Science and Business Media LLC
Subject
Emergency Medicine,Internal Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11739-023-03338-0.pdf
Reference45 articles.
1. Zhang R, Li Y, Zhang AL et al (2020) Identifying airborne transmission as the dominant route for the spread of COVID-19. Proc Natl Acad Sci U S A 117:14857–14863. https://doi.org/10.1073/PNAS.2009637117
2. Driggin E, Madhavan MV, Bikdeli B et al (2020) Cardiovascular considerations for patients, health care workers, and health systems during the COVID-19 pandemic. J Am Coll Cardiol 75:2352–2371. https://doi.org/10.1016/J.JACC.2020.03.031
3. COVID-19 Map - Johns hopkins coronavirus resource center. https://coronavirus.jhu.edu/map.html. Accessed 12 Mar 2023
4. Casas-Rojo JM, Antón-Santos JM, Millán-Núñez-Cortés J et al (2020) Clinical characteristics of patients hospitalized with COVID-19 in Spain: results from the SEMI-COVID-19 registry. Rev Clin Esp 220:480–494. https://doi.org/10.1016/j.rce.2020.07.003
5. Richardson S, Hirsch JS, Narasimhan M et al (2020) Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA 323:2052–2059. https://doi.org/10.1001/JAMA.2020.6775
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