Assessment of a Comparative Bayesian-Enhanced Population-Based Decision Model for COVID-19 Critical Care Prediction in the Dominican Republic Social Security Affiliates

Introduction: The novel coronavirus disease 2019 (COVID-19) has been a major health concern worldwide. This study aims to develop a Bayesian model to predict critical outcomes in patients with COVID-19. Methods: Sensitivity and specificity were obtained from previous meta-analysis studies. The compl...

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Detalles Bibliográficos
Autores principales: Baez, Amado A, Lopez, Oscar J, Martinez, Maria, White, Colyn, Ramirez-Slaibe, Pedro, Martinez, Leticia, Castellanos, Pedro L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Emergency Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367678/
https://www.ncbi.nlm.nih.gov/pubmed/35967172
http://dx.doi.org/10.7759/cureus.26781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367678/
https://www.ncbi.nlm.nih.gov/pubmed/35967172
http://dx.doi.org/10.7759/cureus.26781

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